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ParisTechLionel MENARDResearch Engineer1, rue Claude Daunesse - CS 10207SOPHIA 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azimuth (degree) of the Digital Elevation Model extracted from SRTMv4 (http://www.cgiar-csi.org/category/elevation/)WCSGeoTIFFATLAS_PACA_ASPECT_SRTM_EPSG_4326_r32paca__ATLAS_PACA_ASPECT_SRTM_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_01Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 0.0 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_01geossDataCorepaca__ATLAS_PACA_BTI_01RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_02Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_02paca__ATLAS_PACA_BTI_02RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_03Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 135.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_03paca__ATLAS_PACA_BTI_03RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_04Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 90.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_04paca__ATLAS_PACA_BTI_04RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_05Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 225.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_05paca__ATLAS_PACA_BTI_05RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_06Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 270.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_06paca__ATLAS_PACA_BTI_06RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_07Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 0.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_07paca__ATLAS_PACA_BTI_07RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_08Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 35.0 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_08paca__ATLAS_PACA_BTI_08RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_BTI_12Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Irradiation on Tilted plan (slope = 45.0 deg, azimuth = 135.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_BTI_12paca__ATLAS_PACA_BTI_12RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DEM_SRTM_EPSG_4326_r32Digital Elevation Model extracted from SRTMv4 (http://www.cgiar-csi.org/data/elevation/item/45-srtm-90m-digital-elevation-database-v41)WCSGeoTIFFATLAS_PACA_DEM_SRTM_EPSG_4326_r32paca__ATLAS_PACA_DEM_SRTM_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DISTRICT_DIVISION_EPSG_4326_16bMap of the district divisions for the solar atlas of Provence-Alpes-Cote d''Azur (PACA) It comprises the 964 districts of PACA with a surrounding margin of 4 km. It has been created from the product GEOFLA of IGN, the french institute of geography (http://professionnels.ign.fr/ficheProduitCMS.do?idDoc=5323861)WCSGeoTIFFpaca__ATLAS_PACA_DISTRICT_DIVISION_EPSG_4326_16bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DNISolar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Beam Normal Irradiation in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DNIpaca__ATLAS_PACA_DNIRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DNI_EPSG_4326_8bWCSGeoTIFFATLAS_PACA_DNI_EPSG_4326_8bpaca__ATLAS_PACA_DNI_EPSG_4326_8bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_01Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 0.0 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_01paca__ATLAS_PACA_DTI_01RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_02Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_02paca__ATLAS_PACA_DTI_02RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_03Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 135.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_03paca__ATLAS_PACA_DTI_03RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_04Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 90.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_04paca__ATLAS_PACA_DTI_04RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_05Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 225.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_05paca__ATLAS_PACA_DTI_05RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_06Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 270.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_06paca__ATLAS_PACA_DTI_06RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_07Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 0.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_07paca__ATLAS_PACA_DTI_07RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_08Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 35.0 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_08paca__ATLAS_PACA_DTI_08RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_DTI_12Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Diffuse Irradiation on Tilted plan (slope = 45.0 deg, azimuth = 135.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_DTI_12paca__ATLAS_PACA_DTI_12RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_01Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 0.0 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_01paca__ATLAS_PACA_GTI_01RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_01_MEAN_YEARATLAS_PACA_GTI_01_MEAN_YEARWCSGeoTIFFmapserv__ATLAS_PACA_GTI_01_MEAN_YEARRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_02Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_02paca__ATLAS_PACA_GTI_02RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_03Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 135.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_03paca__ATLAS_PACA_GTI_03RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_04Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 90.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_04paca__ATLAS_PACA_GTI_04RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_05Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 225.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_05paca__ATLAS_PACA_GTI_05RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_06Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 270.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_06paca__ATLAS_PACA_GTI_06RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_07Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 16.7 deg, azimuth = 0.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_07paca__ATLAS_PACA_GTI_07RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_08Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 35.0 deg, azimuth = 180.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_08paca__ATLAS_PACA_GTI_08RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_GTI_12Solar Atlas of Provence-Alpes-Cte d'Azur: mean of yearly sum of Global Irradiation on Tilted plan (slope = 45.0 deg, azimuth = 135.0 deg) in kWh/m^2 (2004-2010)WCSGeoTIFFATLAS_PACA_GTI_12paca__ATLAS_PACA_GTI_12RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_LAND_USE_CLC2006_EPSG_4326_8bRaster data on land cover from the CLC2006 inventory, extracted for Provence-Alpes-Cote d'Azur. Data categorized using the 44 classes of the 3-level Corine nomenclature Extracted with the wms request: http://sd1878-2.sivit.org/geoserver/wms?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&BBOX=3.91625,42.916667,8.01625,45.416667&LAYERS=topp:RCLC06_WGS&CRS=EPSG:4326&FORMAT=image/geotiff 8&WIDTH=1640&HEIGHT=1500WCSGeoTIFFpaca__ATLAS_PACA_LAND_USE_CLC2006_EPSG_4326_8bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MASK_EPSG_4326_8bBinary mask for the solar atlas of Provence-Alpes-Cote d'Azur (PACA) It comprises the five territorial regions of PACA with a surrounding margin of 4 kmWCSGeoTIFFpaca__ATLAS_PACA_MASK_EPSG_4326_8bRectifiedGridCoverage3.8762499999999998 42.074999999331998.056249999999999 46.2583333335023.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32Max temperature of the month 01 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32Max temperature of the month 02 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32Max temperature of the month 03 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32Max temperature of the month 04 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32Max temperature of the month 05 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32Max temperature of the month 06 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32Max temperature of the month 07 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32Max temperature of the month 08 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32Max temperature of the month 09 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32Max temperature of the month 10 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32Max temperature of the month 11 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MAX_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32Max temperature of the month 12 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MAX_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MAX_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32Mean temperature of the month 01 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32Mean temperature of the month 02 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32Mean temperature of the month 03 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32Mean temperature of the month 04 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32Mean temperature of the month 05 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32Mean temperature of the month 06 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32Mean temperature of the month 07 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32Mean temperature of the month 08 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32Mean temperature of the month 09 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32Mean temperature of the month 10 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32Mean temperature of the month 11 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32Mean temperature of the month 12 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MEAN_TEMPERATURE_MSG_UNIGE_EPSG_4326_r32Description: Map of estimated mean daytime air temperature at 2-m height [Degree C], August 30, 2009, PACA Region. The layer was generated from input satellite MSG-SEVIRI images (provided by EUMETSAT) and in-situ temperature measurements (collected by Meteo France and provided by ARMINES) through the application of a supervised regression techique based on support vector machines (SVM). Hourly MSG-SEVIRI images acquired between 8 am and 5 pm were used. For each pixel, first air temperature was separately estimated from each hourly MSG-SEVIRI observation not affected by cloud cover, and, then, the mean of the resulting estimates was displayed in the present layer. Pixels in which cloud cover was present at all observation times and sea areas were masked out. Scientific reference: G. Moser and S. B. Serpico.WCSGeoTIFFATLAS_PACA_MEAN_TEMPERATURE_MSG_UNIGE_EPSG_4326_r32paca__ATLAS_PACA_MEAN_TEMPERATURE_MSG_UNIGE_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32Min temperature of the month 01 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH01_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32Min temperature of the month 02 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH02_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32Min temperature of the month 03 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH03_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32Min temperature of the month 04 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH04_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32Min temperature of the month 05 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH05_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32Min temperature of the month 06 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH06_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32Min temperature of the month 07 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH07_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32Min temperature of the month 08 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH08_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32Min temperature of the month 09 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH09_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32Min temperature of the month 10 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH10_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32Min temperature of the month 11 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH11_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_MIN_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32Min temperature of the month 12 extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c)WCSGeoTIFFATLAS_PACA_MIN_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32paca__ATLAS_PACA_MIN_TEMPERATURE_MONTH12_NCEP_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_SLOPE_SRTM_EPSG_4326_r32Local slope in % (atan of the slope angle) of the Digital Elevation Model extracted from SRTMv4 (http://www.cgiar-csi.org/data/elevation/item/45-srtm-90m-digital-elevation-database-v41)WCSGeoTIFFATLAS_PACA_SLOPE_SRTM_EPSG_4326_r32paca__ATLAS_PACA_SLOPE_SRTM_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_SOURCE_POINTS_DISTKM_EPSG_4326_r32Distance to the nearest electric source point (km) (from scanned map of ErDF)WCSGeoTIFFATLAS_PACA_SOURCE_POINTS_DISTKM_EPSG_4326_r32paca__ATLAS_PACA_SOURCE_POINTS_DISTKM_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_STD_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32WCSGeoTIFFATLAS_PACA_STD_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32paca__ATLAS_PACA_STD_TEMPERATURE_MODIS_UNIGE_EPSG_4326_r32RectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_TERRITORIAL_DIVISION_EPSG_4326_8bMap of the territorial divisions for the solar atlas of Provence-Alpes-Cote d'Azur (PACA) It comprises the six territorial regions of PACA with a surrounding margin of 4 km It has been created from the product GEOFLA of IGN, the French institute of geography (http://professionnels.ign.fr/ficheProduitCMS.do?idDoc=5323861)WCSGeoTIFFpaca__ATLAS_PACA_TERRITORIAL_DIVISION_EPSG_4326_8bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_WINDSPEED_10M_CLASSES_EPSG_4326_8bWCSGeoTIFFATLAS_PACA_WINDSPEED_10M_CLASSES_EPSG_4326_8bpaca__ATLAS_PACA_WINDSPEED_10M_CLASSES_EPSG_4326_8bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_ZONE_FLOOD_RISK_EPSG_4326_8bMap of flood risks (Atlas Zone Inondable validé) extracted from the GIS CARMEN (DREAL - PACA). (http://carmen.developpement-durable.gouv.fr/25/environnement.map)WCSGeoTIFFATLAS_PACA_ZONE_FLOOD_RISK_EPSG_4326_8b_geopaca__ATLAS_PACA_ZONE_FLOOD_RISK_EPSG_4326_8bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667ATLAS_PACA_ZONE_NATURE_RESERVES_EPSG_4326_8bMap of natural reserves (Parc National" + "Réserve naturelle nationale" + "Réserve naturelle régionale" + "Parc naturel régional") extracted from the GIS CARMEN (DREAL - PACA). (http://carmen.developpement-durable.gouv.fr/25/environnement.map)WCSGeoTIFFATLAS_PACA_ZONE_NATURE_RESERVES_EPSG_4326_8b_geopaca__ATLAS_PACA_ZONE_NATURE_RESERVES_EPSG_4326_8bRectifiedGridCoverage3.91625 42.9166666661669968.01625 45.4166666666673.91625 42.9166666661669968.01625 45.416666666667Average value of current powerMap of averaged values of depth-averaged current power. Information was produced using a 5-year time series extracted from Homere sea state hindcast (Boudière et al. 2013, Boudière et al. 2014). References: E. Boudière, C. Maisondieu, F. Ardhuin, M. Accensi, L. Pineau-Guillou, and J. Lepesqueur, “A suitable metocean hindcast database for the design of Marine energy converters,” International Journal of Marine Energy, vol. 3–4, pp. e40–e52, Dec. 2013. E. Boudière and C. Maisondieu, “Manuel de l’utilisateur de la base de données HOMERE,” 2014.WCSGeoTIFFMeanPowerCurrentCurrent ClimatologyMarine Energymarine__Average_value_of_current_powerRectifiedGridCoverage-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485Average value of significant wave heightAverage value of Hs Abstract : Map of averaged values of significant wave height (Hs). Information was produced using a 5-year time series extracted from Homere sea state hindcast (Boudière et al. 2013, Boudière et al. 2014). References: E. Boudière, C. Maisondieu, F. Ardhuin, M. Accensi, L. Pineau-Guillou, and J. Lepesqueur, “A suitable metocean hindcast database for the design of Marine energy converters,” International Journal of Marine Energy, vol. 3–4, pp. e40–e52, Dec. 2013. E. Boudière and C. Maisondieu, “Manuel de l’utilisateur de la base de données HOMERE,” 2014.WCSGeoTIFFHs_AnnualWave ClimatologyMarine Energymarine__Average_value_of_significant_wave_heightRectifiedGridCoverage-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485Average value of wave energy period (Te)Map of averaged values of wave energy period. Information was produced using a 5-year time series extracted from Homere sea state hindcast (BoudiËre et al. 2013, BoudiËre et al. 2014). References: E. BoudiËre, C. Maisondieu, F. Ardhuin, M. Accensi, L. Pineau-Guillou, and J. Lepesqueur, ìA suitable metocean hindcast database for the design of Marine energy converters,î International Journal of Marine Energy, vol. 3ñ4, pp. e40ñe52, Dec. 2013. E. BoudiËre and C. Maisondieu, ìManuel de líutilisateur de la base de donnÈes HOMERE,î 2014.WCSGeoTIFFTe_AnnualWave ClimatologyMarine Energymarine__Average_value_of_wave_energy_period_TeRectifiedGridCoverage-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485Average value of wave power density (Te)Map of averaged values of wave power density. Information was produced using a 5-year time series extracted from Homere sea state hindcast (Boudière et al. 2013, Boudière et al. 2014). References: E. Boudière, C. Maisondieu, F. Ardhuin, M. Accensi, L. Pineau-Guillou, and J. Lepesqueur, “A suitable metocean hindcast database for the design of Marine energy converters,” International Journal of Marine Energy, vol. 3–4, pp. e40–e52, Dec. 2013. E. Boudière and C. Maisondieu, “Manuel de l’utilisateur de la base de données HOMERE,” 2014.WCSGeoTIFFWavePower_AnnualWave ClimatologyMarine Energymarine__Average_value_of_wave_power_density_TeRectifiedGridCoverage-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485-4.8992109298706055 48.000179290771484-4.3382109298706055 48.329179290771485BNI_y_min1109_max1815_geoYearly sum DNI PACABNI_y_min1109_max1815_geoWCSGeoTIFFmapserv__BNI_y_min1109_max1815_geoRectifiedGridCoverage4.0 45.58.002777777778098 48.5022222222232744.0 45.58.002777777778098 48.502222222223274Chaouia-Ourdigha_BNIChaouia-Ourdigha_BNIWCSVRTmapserv__Chaouia-Ourdigha_BNIRectifiedGridCoverage-8.12317 32.34924598-5.9999278 33.8304-8.12317 32.34924598-5.9999278 33.8304Chaouia-Ourdigha_GHIChaouia-Ourdigha_GHIWCSVRTmapserv__Chaouia-Ourdigha_GHIRectifiedGridCoverage-8.12317 32.34924598-5.9999278 33.8304-8.12317 32.34924598-5.9999278 33.8304Chaouia-Ourdigha_ventChaouia-Ourdigha_ventWCSVRTmapserv__Chaouia-Ourdigha_ventRectifiedGridCoverage-8.12317 32.349244199999994-5.999933199999999 33.8304-8.12317 32.349244199999994-5.999933199999999 33.8304DNI_MoyMensuelle_kWhm-2_geotiffDNI_MoyMensuelle_kWhm-2_geotiffWCSGeoTIFFmapserv__DNI_MoyMensuelle_kWhm-2_geotiffRectifiedGridCoverage-16.75 55.91666745.083086 75.99992-16.75 55.91666745.083086 75.99992Doukkala-Abda_BNIDoukkala-Abda_BNIWCSVRTmapserv__Doukkala-Abda_BNIRectifiedGridCoverage-9.43542 31.693824720000002-7.932393 33.4585-9.43542 31.693824720000002-7.932393 33.4585Doukkala-Abda_GHIDoukkala-Abda_GHIWCSVRTmapserv__Doukkala-Abda_GHIRectifiedGridCoverage-9.43542 31.693824720000002-7.932393 33.4585-9.43542 31.693824720000002-7.932393 33.4585Doukkala-Abda_ventDoukkala-Abda_ventWCSVRTmapserv__Doukkala-Abda_ventRectifiedGridCoverage-9.43542 31.6938226-7.932393 33.4585-9.43542 31.6938226-7.932393 33.4585Environmental performances associated to offshore wind energy generation in Northern EuropeThis Web Map Service provides maps of site-specific environmental performances associated to offshore wind energy generation in Northern Europe. These maps have been generated from dedicated algorithm combining Life Cycle Assessment (LCA) results with technical parameters and geo-dependent data having an influence on: foundation choice criteria (water depth), on electricity generation potentials (turbine power curve, wind speed distribution), on transport impact (distance to the nearest harbor), on transmission cables length (distance to shore). Final environmental impacts categories are assessed from the method IMPACT2002+focusing on climate change, resources depletion, human health and ecosystem quality.WCSGeoTIFFenvironmental_mapenergeo__environmental_performances_of_offshore_wind_energyRectifiedGridCoverage-25.005594663681 46.09714797165699525.044407347718998 66.008446937215-25.005594663681 46.09714797165699525.044407347718998 66.008446937215Europe_life_expectanciesWCSGeoTIFFEurope_life_expectanciesenergeo_pia__Europe_life_expectanciesRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625Fes-Boulmane_BNIFes-Boulmane_BNIWCSVRTmapserv__Fes-Boulmane_BNIRectifiedGridCoverage-5.43362 32.623793160000005-2.96907664 34.3254-5.43362 32.623793160000005-2.96907664 34.3254Fes-Boulmane_GHIFes-Boulmane_GHIWCSVRTmapserv__Fes-Boulmane_GHIRectifiedGridCoverage-5.43362 32.623793160000005-2.96907664 34.3254-5.43362 32.623793160000005-2.96907664 34.3254Fes-Boulmane_ventFes-Boulmane_ventWCSVRTmapserv__Fes-Boulmane_ventRectifiedGridCoverage-5.43362 32.6237952-2.9690796000000006 34.3254-5.43362 32.6237952-2.9690796000000006 34.3254GAINS_BIO_CLE_O3_2005_LLE1WCSGeoTIFFGAINS_BIO_CLE_O3_2005_LLE1energeo_pia_2013__GAINS_BIO_CLE_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2005_LLE2WCSGeoTIFFGAINS_BIO_CLE_O3_2005_LLE2energeo_pia_2013__GAINS_BIO_CLE_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2030_LLE1WCSGeoTIFFGAINS_BIO_CLE_O3_2030_LLE1energeo_pia_2013__GAINS_BIO_CLE_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2030_LLE2WCSGeoTIFFGAINS_BIO_CLE_O3_2030_LLE2energeo_pia_2013__GAINS_BIO_CLE_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2040_LLE1WCSGeoTIFFGAINS_BIO_CLE_O3_2040_LLE1energeo_pia_2013__GAINS_BIO_CLE_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2040_LLE2WCSGeoTIFFGAINS_BIO_CLE_O3_2040_LLE2energeo_pia_2013__GAINS_BIO_CLE_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2050_LLE1WCSGeoTIFFGAINS_BIO_CLE_O3_2050_LLE1energeo_pia_2013__GAINS_BIO_CLE_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_O3_2050_LLE2WCSGeoTIFFGAINS_BIO_CLE_O3_2050_LLE2energeo_pia_2013__GAINS_BIO_CLE_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (CLE)WCSGeoTIFFGAINS_BIO_CLE_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_BIO_CLE_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (CLE)WCSGeoTIFFGAINS_BIO_CLE_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_BIO_CLE_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (CLE)WCSGeoTIFFGAINS_BIO_CLE_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_BIO_CLE_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_CLE_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (CLE)WCSGeoTIFFGAINS_BIO_CLE_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_BIO_CLE_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2005_LLE1WCSGeoTIFFGAINS_BIO_MFR_O3_2005_LLE1energeo_pia_2013__GAINS_BIO_MFR_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2005_LLE2WCSGeoTIFFGAINS_BIO_MFR_O3_2005_LLE2energeo_pia_2013__GAINS_BIO_MFR_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2030_LLE1WCSGeoTIFFGAINS_BIO_MFR_O3_2030_LLE1energeo_pia_2013__GAINS_BIO_MFR_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2030_LLE2WCSGeoTIFFGAINS_BIO_MFR_O3_2030_LLE2energeo_pia_2013__GAINS_BIO_MFR_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2040_LLE1WCSGeoTIFFGAINS_BIO_MFR_O3_2040_LLE1energeo_pia_2013__GAINS_BIO_MFR_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2040_LLE2WCSGeoTIFFGAINS_BIO_MFR_O3_2040_LLE2energeo_pia_2013__GAINS_BIO_MFR_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2050_LLE1WCSGeoTIFFGAINS_BIO_MFR_O3_2050_LLE1energeo_pia_2013__GAINS_BIO_MFR_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_O3_2050_LLE2WCSGeoTIFFGAINS_BIO_MFR_O3_2050_LLE2energeo_pia_2013__GAINS_BIO_MFR_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (MTFR)WCSGeoTIFFGAINS_BIO_MFR_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_BIO_MFR_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (MTFR)WCSGeoTIFFGAINS_BIO_MFR_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_BIO_MFR_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (MTFR)WCSGeoTIFFGAINS_BIO_MFR_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_BIO_MFR_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BIO_MFR_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Open Europe scenario (MTFR)WCSGeoTIFFGAINS_BIO_MFR_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_BIO_MFR_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2005_LLE1WCSGeoTIFFGAINS_BL_CLE_O3_2005_LLE1energeo_pia_2013__GAINS_BL_CLE_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2005_LLE2WCSGeoTIFFGAINS_BL_CLE_O3_2005_LLE2energeo_pia_2013__GAINS_BL_CLE_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2020_LLE1WCSGeoTIFFGAINS_BL_CLE_O3_2020_LLE1energeo_pia_2013__GAINS_BL_CLE_O3_2020_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2020_LLE2WCSGeoTIFFGAINS_BL_CLE_O3_2020_LLE2energeo_pia_2013__GAINS_BL_CLE_O3_2020_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2030_LLE1WCSGeoTIFFGAINS_BL_CLE_O3_2030_LLE1energeo_pia_2013__GAINS_BL_CLE_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2030_LLE2WCSGeoTIFFGAINS_BL_CLE_O3_2030_LLE2energeo_pia_2013__GAINS_BL_CLE_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2040_LLE1WCSGeoTIFFGAINS_BL_CLE_O3_2040_LLE1energeo_pia_2013__GAINS_BL_CLE_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2040_LLE2WCSGeoTIFFGAINS_BL_CLE_O3_2040_LLE2energeo_pia_2013__GAINS_BL_CLE_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2050_LLE1WCSGeoTIFFGAINS_BL_CLE_O3_2050_LLE1energeo_pia_2013__GAINS_BL_CLE_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_O3_2050_LLE2WCSGeoTIFFGAINS_BL_CLE_O3_2050_LLE2energeo_pia_2013__GAINS_BL_CLE_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (CLE)WCSGeoTIFFGAINS_BL_CLE_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_BL_CLE_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (CLE)WCSGeoTIFFGAINS_BL_CLE_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_BL_CLE_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (CLE)WCSGeoTIFFGAINS_BL_CLE_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_BL_CLE_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_CLE_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (CLE)WCSGeoTIFFGAINS_BL_CLE_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_BL_CLE_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2005_LLE1WCSGeoTIFFGAINS_BL_FEF_O3_2005_LLE1energeo_pia_2013__GAINS_BL_FEF_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2005_LLE2WCSGeoTIFFGAINS_BL_FEF_O3_2005_LLE2energeo_pia_2013__GAINS_BL_FEF_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2020_LLE1WCSGeoTIFFGAINS_BL_FEF_O3_2020_LLE1energeo_pia_2013__GAINS_BL_FEF_O3_2020_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2020_LLE2WCSGeoTIFFGAINS_BL_FEF_O3_2020_LLE2energeo_pia_2013__GAINS_BL_FEF_O3_2020_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2030_LLE1WCSGeoTIFFGAINS_BL_FEF_O3_2030_LLE1energeo_pia_2013__GAINS_BL_FEF_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2030_LLE2WCSGeoTIFFGAINS_BL_FEF_O3_2030_LLE2energeo_pia_2013__GAINS_BL_FEF_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2040_LLE1WCSGeoTIFFGAINS_BL_FEF_O3_2040_LLE1energeo_pia_2013__GAINS_BL_FEF_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2040_LLE2WCSGeoTIFFGAINS_BL_FEF_O3_2040_LLE2energeo_pia_2013__GAINS_BL_FEF_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2050_LLE1WCSGeoTIFFGAINS_BL_FEF_O3_2050_LLE1energeo_pia_2013__GAINS_BL_FEF_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_O3_2050_LLE2WCSGeoTIFFGAINS_BL_FEF_O3_2050_LLE2energeo_pia_2013__GAINS_BL_FEF_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (FEF)WCSGeoTIFFGAINS_BL_FEF_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_BL_FEF_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (FEF)WCSGeoTIFFGAINS_BL_FEF_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_BL_FEF_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (FEF)WCSGeoTIFFGAINS_BL_FEF_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_BL_FEF_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_FEF_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (FEF)WCSGeoTIFFGAINS_BL_FEF_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_BL_FEF_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2005_LLE1WCSGeoTIFFGAINS_BL_MFR_O3_2005_LLE1energeo_pia_2013__GAINS_BL_MFR_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2005_LLE2WCSGeoTIFFGAINS_BL_MFR_O3_2005_LLE2energeo_pia_2013__GAINS_BL_MFR_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2020_LLE1WCSGeoTIFFGAINS_BL_MFR_O3_2020_LLE1energeo_pia_2013__GAINS_BL_MFR_O3_2020_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2020_LLE2WCSGeoTIFFGAINS_BL_MFR_O3_2020_LLE2energeo_pia_2013__GAINS_BL_MFR_O3_2020_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2030_LLE1WCSGeoTIFFGAINS_BL_MFR_O3_2030_LLE1energeo_pia_2013__GAINS_BL_MFR_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2030_LLE2WCSGeoTIFFGAINS_BL_MFR_O3_2030_LLE2energeo_pia_2013__GAINS_BL_MFR_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2040_LLE1WCSGeoTIFFGAINS_BL_MFR_O3_2040_LLE1energeo_pia_2013__GAINS_BL_MFR_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2040_LLE2WCSGeoTIFFGAINS_BL_MFR_O3_2040_LLE2energeo_pia_2013__GAINS_BL_MFR_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2050_LLE1WCSGeoTIFFGAINS_BL_MFR_O3_2050_LLE1energeo_pia_2013__GAINS_BL_MFR_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_O3_2050_LLE2WCSGeoTIFFGAINS_BL_MFR_O3_2050_LLE2energeo_pia_2013__GAINS_BL_MFR_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (MTFR)WCSGeoTIFFGAINS_BL_MFR_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_BL_MFR_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (MTFR)WCSGeoTIFFGAINS_BL_MFR_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_BL_MFR_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (MTFR)WCSGeoTIFFGAINS_BL_MFR_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_BL_MFR_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_BL_MFR_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Baseline scenario (MTFR)WCSGeoTIFFGAINS_BL_MFR_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_BL_MFR_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2005_LLE1WCSGeoTIFFGAINS_MAX_CLE_O3_2005_LLE1energeo_pia_2013__GAINS_MAX_CLE_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2005_LLE2WCSGeoTIFFGAINS_MAX_CLE_O3_2005_LLE2energeo_pia_2013__GAINS_MAX_CLE_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2030_LLE1WCSGeoTIFFGAINS_MAX_CLE_O3_2030_LLE1energeo_pia_2013__GAINS_MAX_CLE_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2030_LLE2WCSGeoTIFFGAINS_MAX_CLE_O3_2030_LLE2energeo_pia_2013__GAINS_MAX_CLE_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2040_LLE1WCSGeoTIFFGAINS_MAX_CLE_O3_2040_LLE1energeo_pia_2013__GAINS_MAX_CLE_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2040_LLE2WCSGeoTIFFGAINS_MAX_CLE_O3_2040_LLE2energeo_pia_2013__GAINS_MAX_CLE_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2050_LLE1WCSGeoTIFFGAINS_MAX_CLE_O3_2050_LLE1energeo_pia_2013__GAINS_MAX_CLE_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_O3_2050_LLE2WCSGeoTIFFGAINS_MAX_CLE_O3_2050_LLE2energeo_pia_2013__GAINS_MAX_CLE_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (CLE)WCSGeoTIFFGAINS_MAX_CLE_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_MAX_CLE_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (CLE)WCSGeoTIFFGAINS_MAX_CLE_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_MAX_CLE_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (CLE)WCSGeoTIFFGAINS_MAX_CLE_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_MAX_CLE_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_CLE_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (CLE)WCSGeoTIFFGAINS_MAX_CLE_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_MAX_CLE_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2005_LLE1WCSGeoTIFFGAINS_MAX_MFR_O3_2005_LLE1energeo_pia_2013__GAINS_MAX_MFR_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2005_LLE2WCSGeoTIFFGAINS_MAX_MFR_O3_2005_LLE2energeo_pia_2013__GAINS_MAX_MFR_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2030_LLE1WCSGeoTIFFGAINS_MAX_MFR_O3_2030_LLE1energeo_pia_2013__GAINS_MAX_MFR_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2030_LLE2WCSGeoTIFFGAINS_MAX_MFR_O3_2030_LLE2energeo_pia_2013__GAINS_MAX_MFR_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2040_LLE1WCSGeoTIFFGAINS_MAX_MFR_O3_2040_LLE1energeo_pia_2013__GAINS_MAX_MFR_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2040_LLE2WCSGeoTIFFGAINS_MAX_MFR_O3_2040_LLE2energeo_pia_2013__GAINS_MAX_MFR_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2050_LLE1WCSGeoTIFFGAINS_MAX_MFR_O3_2050_LLE1energeo_pia_2013__GAINS_MAX_MFR_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_O3_2050_LLE2WCSGeoTIFFGAINS_MAX_MFR_O3_2050_LLE2energeo_pia_2013__GAINS_MAX_MFR_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (MTFR)WCSGeoTIFFGAINS_MAX_MFR_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_MAX_MFR_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (MTFR)WCSGeoTIFFGAINS_MAX_MFR_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_MAX_MFR_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (MTFR)WCSGeoTIFFGAINS_MAX_MFR_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_MAX_MFR_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_MAX_MFR_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Max. Renewable Energy scenario (MTFR)WCSGeoTIFFGAINS_MAX_MFR_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_MAX_MFR_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2005_LLE1WCSGeoTIFFGAINS_NUC_CLE_O3_2005_LLE1energeo_pia_2013__GAINS_NUC_CLE_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2005_LLE2WCSGeoTIFFGAINS_NUC_CLE_O3_2005_LLE2energeo_pia_2013__GAINS_NUC_CLE_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2030_LLE1WCSGeoTIFFGAINS_NUC_CLE_O3_2030_LLE1energeo_pia_2013__GAINS_NUC_CLE_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2030_LLE2WCSGeoTIFFGAINS_NUC_CLE_O3_2030_LLE2energeo_pia_2013__GAINS_NUC_CLE_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2040_LLE1WCSGeoTIFFGAINS_NUC_CLE_O3_2040_LLE1energeo_pia_2013__GAINS_NUC_CLE_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2040_LLE2WCSGeoTIFFGAINS_NUC_CLE_O3_2040_LLE2energeo_pia_2013__GAINS_NUC_CLE_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2050_LLE1WCSGeoTIFFGAINS_NUC_CLE_O3_2050_LLE1energeo_pia_2013__GAINS_NUC_CLE_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_O3_2050_LLE2WCSGeoTIFFGAINS_NUC_CLE_O3_2050_LLE2energeo_pia_2013__GAINS_NUC_CLE_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (CLE)WCSGeoTIFFGAINS_NUC_CLE_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_NUC_CLE_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (CLE)WCSGeoTIFFGAINS_NUC_CLE_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_NUC_CLE_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (CLE)WCSGeoTIFFGAINS_NUC_CLE_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_NUC_CLE_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_CLE_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (CLE)WCSGeoTIFFGAINS_NUC_CLE_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_NUC_CLE_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2005_LLE1WCSGeoTIFFGAINS_NUC_FEF_O3_2005_LLE1energeo_pia_2013__GAINS_NUC_FEF_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2005_LLE2WCSGeoTIFFGAINS_NUC_FEF_O3_2005_LLE2energeo_pia_2013__GAINS_NUC_FEF_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2030_LLE1WCSGeoTIFFGAINS_NUC_FEF_O3_2030_LLE1energeo_pia_2013__GAINS_NUC_FEF_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2030_LLE2WCSGeoTIFFGAINS_NUC_FEF_O3_2030_LLE2energeo_pia_2013__GAINS_NUC_FEF_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2040_LLE1WCSGeoTIFFGAINS_NUC_FEF_O3_2040_LLE1energeo_pia_2013__GAINS_NUC_FEF_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2040_LLE2WCSGeoTIFFGAINS_NUC_FEF_O3_2040_LLE2energeo_pia_2013__GAINS_NUC_FEF_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2050_LLE1WCSGeoTIFFGAINS_NUC_FEF_O3_2050_LLE1energeo_pia_2013__GAINS_NUC_FEF_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_O3_2050_LLE2WCSGeoTIFFGAINS_NUC_FEF_O3_2050_LLE2energeo_pia_2013__GAINS_NUC_FEF_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (FEF)WCSGeoTIFFGAINS_NUC_FEF_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_NUC_FEF_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (FEF)WCSGeoTIFFGAINS_NUC_FEF_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_NUC_FEF_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (FEF)WCSGeoTIFFGAINS_NUC_FEF_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_NUC_FEF_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_FEF_PM25_2005_LLE_yoll2WCSGeoTIFFGAINS_NUC_FEF_PM25_2005_LLE_yoll2gn__GAINS_NUC_FEF_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2005_LLE1WCSGeoTIFFGAINS_NUC_MFR_O3_2005_LLE1energeo_pia_2013__GAINS_NUC_MFR_O3_2005_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2005_LLE2WCSGeoTIFFGAINS_NUC_MFR_O3_2005_LLE2energeo_pia_2013__GAINS_NUC_MFR_O3_2005_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2030_LLE1WCSGeoTIFFGAINS_NUC_MFR_O3_2030_LLE1energeo_pia_2013__GAINS_NUC_MFR_O3_2030_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2030_LLE2WCSGeoTIFFGAINS_NUC_MFR_O3_2030_LLE2energeo_pia_2013__GAINS_NUC_MFR_O3_2030_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2040_LLE1WCSGeoTIFFGAINS_NUC_MFR_O3_2040_LLE1energeo_pia_2013__GAINS_NUC_MFR_O3_2040_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2040_LLE2WCSGeoTIFFGAINS_NUC_MFR_O3_2040_LLE2energeo_pia_2013__GAINS_NUC_MFR_O3_2040_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2050_LLE1WCSGeoTIFFGAINS_NUC_MFR_O3_2050_LLE1energeo_pia_2013__GAINS_NUC_MFR_O3_2050_LLE1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_O3_2050_LLE2WCSGeoTIFFGAINS_NUC_MFR_O3_2050_LLE2energeo_pia_2013__GAINS_NUC_MFR_O3_2050_LLE2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_PM25_2005_LLE_doll1Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (MTFR)WCSGeoTIFFGAINS_NUC_MFR_PM25_2005_LLE_doll1energeo_pia_2013__GAINS_NUC_MFR_PM25_2005_LLE_doll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_PM25_2005_LLE_doll2National mean Days of Life Loss Expectancy per person above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (MTFR)WCSGeoTIFFGAINS_NUC_MFR_PM25_2005_LLE_doll2energeo_pia_2013__GAINS_NUC_MFR_PM25_2005_LLE_doll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_PM25_2005_LLE_yoll1Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (MTFR)WCSGeoTIFFGAINS_NUC_MFR_PM25_2005_LLE_yoll1energeo_pia_2013__GAINS_NUC_MFR_PM25_2005_LLE_yoll1RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GAINS_NUC_MFR_PM25_2005_LLE_yoll2National mean Years of Life Loss Expectancy for population above 30 years in 2005 due to PM2.5 from GAINS Island Europe scenario (MTFR)WCSGeoTIFFGAINS_NUC_MFR_PM25_2005_LLE_yoll2energeo_pia_2013__GAINS_NUC_MFR_PM25_2005_LLE_yoll2RectifiedGridCoverage-10.0625 34.937555.0625 70.0625-10.0625 34.937555.0625 70.0625GHI_MoyMensuelle_kWhm-2_geotiffGHI_MoyMensuelle_kWhm-2_geotiffWCSGeoTIFFmapserv__GHI_MoyMensuelle_kWhm-2_geotiffRectifiedGridCoverage-16.75 55.91666745.083086 75.99992-16.75 55.91666745.083086 75.99992GHI_y_min1297_max1733_geoYearly sum GHI PACAGHI_y_min1297_max1733_geoWCSGeoTIFFmapserv__GHI_y_min1297_max1733_geoRectifiedGridCoverage4.0 45.58.002777777778098 48.5022222222232744.0 45.58.002777777778098 48.502222222223274Gharb-Ghrarda-Beni-Hsen_BNIGharb-Ghrarda-Beni-Hsen_BNIWCSVRTmapserv__Gharb-Ghrarda-Beni-Hsen_BNIRectifiedGridCoverage-6.71186 34.09561786-5.14665472 34.988-6.71186 34.09561786-5.14665472 34.988Gharb-Ghrarda-Beni-Hsen_GHIGharb-Ghrarda-Beni-Hsen_GHIWCSVRTmapserv__Gharb-Ghrarda-Beni-Hsen_GHIRectifiedGridCoverage-6.71186 34.09561786-5.14665472 34.988-6.71186 34.09561786-5.14665472 34.988Gharb-Ghrarda-Beni-Hsen_ventGharb-Ghrarda-Beni-Hsen_ventWCSVRTmapserv__Gharb-Ghrarda-Beni-Hsen_ventRectifiedGridCoverage-6.71186 34.0956176-5.1466566 34.988-6.71186 34.0956176-5.1466566 34.988Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Apr 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_04cams_jade__CAMS_JADE_monthly_GHI_2005_04RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Aug 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_08cams_jade__CAMS_JADE_monthly_GHI_2005_08RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Dec 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_12cams_jade__CAMS_JADE_monthly_GHI_2005_12RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Fev 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_02cams_jade__CAMS_JADE_monthly_GHI_2005_02RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Jan 2005Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project For more info: <a href="http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume">http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume</a>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_01CopernicusCAMSARMINESMINES ParisTechTransvalorSolar EnergySolar Radiationcams_jade__CAMS_JADE_monthly_GHI_2005_01RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Jul 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_07cams_jade__CAMS_JADE_monthly_GHI_2005_07RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Jun 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_06cams_jade__CAMS_JADE_monthly_GHI_2005_06RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Mar 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_03cams_jade__CAMS_JADE_monthly_GHI_2005_03RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa May 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_05cams_jade__CAMS_JADE_monthly_GHI_2005_05RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Nov 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_11cams_jade__CAMS_JADE_monthly_GHI_2005_11RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Oct 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_10cams_jade__CAMS_JADE_monthly_GHI_2005_10RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa Sep 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_monthly_GHI_2005_09cams_jade__CAMS_JADE_monthly_GHI_2005_09RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Global Horizontal Irradiance (GHI) from Copernicus Atmosphere Monitoring Service (CAMS) radiation service dataset "JADE" over Africa year 2005http://www.soda-pro.com/help/cams-services/cams-radiation-service/download-africa-volume ]]>WCSGeoTIFFCAMS_JADE_yearly_GHI_2005cams_jade__CAMS_JADE_yearly_GHI_2005RectifiedGridCoverage-20.1 -37.154.1 40.1-20.1 -37.154.1 40.1Grand-Casablanca_BNIGrand-Casablanca_BNIWCSVRTmapserv__Grand-Casablanca_BNIRectifiedGridCoverage-7.89486 33.319421-7.345592160000001 33.7343-7.89486 33.319421-7.345592160000001 33.7343Grand-Casablanca_GHIGrand-Casablanca_GHIWCSVRTmapserv__Grand-Casablanca_GHIRectifiedGridCoverage-7.89486 33.319421-7.345592160000001 33.7343-7.89486 33.319421-7.345592160000001 33.7343Grand-Casablanca_ventGrand-Casablanca_ventWCSVRTmapserv__Grand-Casablanca_ventRectifiedGridCoverage-7.89486 33.31942-7.3455915 33.7343-7.89486 33.31942-7.3455915 33.7343Guelmim-Es-Semara_BNIGuelmim-Es-Semara_BNIWCSVRTmapserv__Guelmim-Es-Semara_BNIRectifiedGridCoverage-12.5775 25.9942451-6.374452080000001 30.4125-12.5775 25.9942451-6.374452080000001 30.4125Guelmim-Es-Semara_GHIGuelmim-Es-Semara_GHIWCSVRTmapserv__Guelmim-Es-Semara_GHIRectifiedGridCoverage-12.5775 25.9942451-6.374452080000001 30.4125-12.5775 25.9942451-6.374452080000001 30.4125Guelmim-Es-Semara_ventGuelmim-Es-Semara_ventWCSVRTmapserv__Guelmim-Es-Semara_ventRectifiedGridCoverage-12.5775 25.9942345-6.374437200000001 30.4125-12.5775 25.9942345-6.374437200000001 30.4125HC1_mean_Gd_1985HelioClim-1 Yearly Mean of Irradiance - Year 1985 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1985WCSGeoTIFFSurface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1985RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1985_2005HelioClim-1 Yearly Mean of Irradiance - Years 1985-2005 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1985_2005Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1985_2005RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1985_EPSG_4326_r32_geoWCSGeoTIFFHC1_mean_Gd_1985_EPSG_4326_r32_geoqc__HC1_mean_Gd_1985_EPSG_4326_r32_geoRectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1986HelioClim-1 Yearly Mean of Irradiance - Year 1986 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1986WCSGeoTIFFSurface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1986RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1987HelioClim-1 Yearly Mean of Irradiance - Year 1987 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1987WCSGeoTIFFSurface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1987RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1988HelioClim-1 Yearly Mean of Irradiance - Year 1988 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1988WCSGeoTIFFSurface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1988RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1989HelioClim-1 Yearly Mean of Irradiance - Year 1989 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1989Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1989RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1990HelioClim-1 Yearly Mean of Irradiance - Year 1990 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1990Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1990RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1991HelioClim-1 Yearly Mean of Irradiance - Year 1991 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1991Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1991RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1992HelioClim-1 Yearly Mean of Irradiance - Year 1992 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1992Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1992RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1993HelioClim-1 Yearly Mean of Irradiance - Year 1993 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1993Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1993RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1994HelioClim-1 Yearly Mean of Irradiance - Year 1994 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1994Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1994RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1995HelioClim-1 Yearly Mean of Irradiance - Year 1995 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1995Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1995RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1996HelioClim-1 Yearly Mean of Irradiance - Year 1996 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1996Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1996RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1997HelioClim-1 Yearly Mean of Irradiance - Year 1997 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1997Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1997RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1998HelioClim-1 Yearly Mean of Irradiance - Year 1998 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1998Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1998RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_1999HelioClim-1 Yearly Mean of Irradiance - Year 1999 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_1999Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_1999RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_2000HelioClim-1 Yearly Mean of Irradiance - Year 2000 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_2000Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_2000RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_2001HelioClim-1 Yearly Mean of Irradiance - Year 2001 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_2001Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_2001RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_2002HelioClim-1 Yearly Mean of Irradiance - Year 2002 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_2002Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_2002RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_2003HelioClim-1 Yearly Mean of Irradiance - Year 2003 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_2003Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_2003RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_2004HelioClim-1 Yearly Mean of Irradiance - Year 2004 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_2004Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_2004RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HC1_mean_Gd_2005HelioClim-1 Yearly Mean of Irradiance - Year 2005 The HelioClim-1 database, abbreviated in HC-1, offers daily values of Surface Solar Irradiation (SSI) for the period 1985–2005. It has been created from archives of images of the Meteosat First Generation. This dataset provides for each year (1985-2005) a map of yearly mean of irradiance in (w/m2).WCSGeoTIFFHC1_mean_Gd_2005Surface solar irradiationInsolationIrradianceIrradiationGHIHelioClimHelioClim1HelioClim-1MINES ParisTechGEOSSGEOSS Data COREgeossDataCoregeossNoMonetaryChargehelioclim1__HC1_mean_Gd_2005RectifiedGridCoverage-70.125 -70.12570.125 70.125-70.125 -70.12570.125 70.125HelioClim3v4-MC_BNI_Apr2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Apr. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Apr. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Apr2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Apr2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Aug2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Aug. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Aug. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Aug2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Aug2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Dec2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Dec. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Dec. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Dec2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Dec2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Feb2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Feb. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Feb. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Feb2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Feb2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Jan2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Jan. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Jan. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Jan2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Jan2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Jul2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Jul. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Jul. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Jul2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Jul2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Jun2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Jun. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Jun. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Jun2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Jun2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Mar2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Mar. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Mar. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Mar2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Mar2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_May2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of May. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of May. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_May2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_May2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Nov2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Nov. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Nov. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Nov2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Nov2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Oct2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Oct. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Oct. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Oct2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Oct2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_Sep2005HelioClim3v4-MC Monthly Direct Normal Irradiation for the month of Sep. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the month of Sep. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_Sep2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_Sep2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_BNI_year2005HelioClim3v4-MC Yearly Direct Normal Irradiation for the year 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Direct component of the irradiation received by a plane normal to sun rays during the year 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. Yearly irradiation values are computed only for pixels for which 12 monthly irradiation values are available. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_BNI_year2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_BNI_year2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Apr2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Apr. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Apr. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Apr2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Apr2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Aug2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Aug. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Aug. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Aug2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Aug2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Dec2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Dec. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Dec. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Dec2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Dec2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Feb2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Feb. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Feb. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Feb2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Feb2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Jan2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Jan. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Jan. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Jan2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Jan2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Jul2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Jul. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Jul. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Jul2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Jul2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Jun2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Jun. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Jun. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Jun2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Jun2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Mar2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Mar. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Mar. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.eu :WCSGeoTIFFHelioClim3v4-MC_DHI_Mar2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Mar2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_May2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of May. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of May. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_May2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_May2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Nov2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Nov. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Nov. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Nov2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Nov2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Oct2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Oct. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Oct. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Oct2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Oct2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_Sep2005HelioClim3v4-MC Monthly Diffuse Horizontal Irradiation for the month of Sep. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the month of Sep. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_Sep2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_Sep2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_DHI_year2005HelioClim3v4-MC Yearly Diffuse Horizontal Irradiation for the year 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Diffuse irradiation received by a horizontal plane during the year 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. Yearly irradiation values are computed only for pixels for which 12 monthly irradiation values are available. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_DHI_year2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_DHI_year2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Apr2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Apr. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Apr. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Apr2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Apr2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Aug2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Aug. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Aug. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Aug2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Aug2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Dec2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Dec. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Dec. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Dec2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Dec2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Feb2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Feb. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Feb. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Feb2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Feb2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Jan2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Jan. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Jan. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Jan2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Jan2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Jul2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Jul. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Jul. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Jul2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Jul2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Jun2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Jun. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Jun. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Jun2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Jun2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Mar2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Mar. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Mar. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Mar2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Mar2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_May2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of May. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of May. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_May2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_May2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Nov2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Nov. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Nov. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Nov2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Nov2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Oct2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Oct. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Oct. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Oct2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Oct2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_Sep2005HelioClim3v4-MC Monthly Global Horizontal Irradiation for the month of Sep. 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the month of Sep. 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_Sep2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_Sep2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0HelioClim3v4-MC_GHI_year2005HelioClim3v4-MC Yearly Global Horizontal Irradiation for the year 2005 in kWh/m2. Copyright 2013 MINES ParisTech / Transvalor Global irradiation received by a horizontal plane during the year 2005 for the field-of-view of the Meteosat satellite. MINES ParisTech has developed the Heliosat-2 method that converts 15 min Meteosat images into irradiation maps and stores them into the HelioClim3 database. Yearly irradiation values are computed only for pixels for which 12 monthly irradiation values are available. A monthly irradiation value is computed only if at least 25 daily irradiation values are available. The irradiation values of the missing days are computed by taking into account the mean value of the valid days and the length of each missing day. A day is valid if the HelioSat-2 method can be applied on at least one 15 min slot. Gaps in the day are filled by taking into account the available 15 min irradiation values and the length of the day. The other irradiation components (direct, diffuse) received on an horizontal, tilted or normal plane are then computed and provided via the SoDa Service (www.soda-is.com and pro.soda-is.com) since 2003. Such data are used by academics for teaching and research in solar energy, environment, climate and others, and by companies for the sitting of solar plants (PV, CST), their sizing, and the monitoring of their production. Since 2009, the French company Transvalor is in charge of the SoDa Service. Transvalor provides in addition a series of user-tailored services, such as these maps made with MINES ParisTech that combine HelioClim-3 data with an advanced model McClear that estimates the irradiation that should be received for a given site and given instant if the sky were clear, aka clear sky irradiation. Here MC stands for McClear. Transvalor and MINES ParisTech have set up the McClear Clear-Sky Irradiation service that delivers time series of clear sky global, direct, direct normal, and diffuse irradiation for any site in the world, any period of time starting in 2004 up to now, with a time step ranging from 1 min to 1 month. The McClear is an outcome of the MACC and MACC-II EU-funded projects. More Information: Heliosat-2 publication: http://hal.archives-ouvertes.fr/docs/00/36/13/64/PDF/solar_energy04_heliosat2.pdf HelioClim-3: http://www.soda-is.com/eng/helioclim/helioclim3_eng.html McClear publication: http://www.atmos-meas-tech.net/6/2403/2013/amt-6-2403-2013.pdf McClear Web service: http://www.soda-pro.com/web-services/radiation/cams-mcclear Copernicus projects: https://atmosphere.copernicus.euWCSGeoTIFFHelioClim3v4-MC_GHI_year2005GA_BUSINESShelioclim3v4mc__HelioClim3v4-MC_GHI_year2005RectifiedGridCoverage-66.0 -66.066.0 66.0-66.0 -66.066.0 66.0LLE_2005_PM_GAINS_baseline_doll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Baseline scenarioWCSGeoTIFFLLE_2005_PM_GAINS_baseline_doll1energeo_pia__LLE_2005_PM_GAINS_baseline_doll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_baseline_doll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Baseline scenarioWCSGeoTIFFLLE_2005_PM_GAINS_baseline_doll2energeo_pia__LLE_2005_PM_GAINS_baseline_doll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_baseline_yoll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Baseline scenarioWCSGeoTIFFLLE_2005_PM_GAINS_baseline_yoll1energeo_pia__LLE_2005_PM_GAINS_baseline_yoll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_baseline_yoll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Baseline scenarioWCSGeoTIFFLLE_2005_PM_GAINS_baseline_yoll2energeo_pia__LLE_2005_PM_GAINS_baseline_yoll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_island_europe_doll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Island Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_island_europe_doll1energeo_pia__LLE_2005_PM_GAINS_island_europe_doll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_island_europe_doll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Island Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_island_europe_doll2energeo_pia__LLE_2005_PM_GAINS_island_europe_doll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_island_europe_yoll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Island Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_island_europe_yoll1energeo_pia__LLE_2005_PM_GAINS_island_europe_yoll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_island_europe_yoll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Island Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_island_europe_yoll2energeo_pia__LLE_2005_PM_GAINS_island_europe_yoll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_max_ren_doll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Max renewable power scenarioWCSGeoTIFFLLE_2005_PM_GAINS_max_ren_doll1energeo_pia__LLE_2005_PM_GAINS_max_ren_doll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_max_ren_doll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Max renewable power scenarioWCSGeoTIFFLLE_2005_PM_GAINS_max_ren_doll2energeo_pia__LLE_2005_PM_GAINS_max_ren_doll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_max_ren_yoll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Max renewable power scenarioWCSGeoTIFFLLE_2005_PM_GAINS_max_ren_yoll1energeo_pia__LLE_2005_PM_GAINS_max_ren_yoll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_max_ren_yoll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Max renewable power scenarioWCSGeoTIFFLLE_2005_PM_GAINS_max_ren_yoll2energeo_pia__LLE_2005_PM_GAINS_max_ren_yoll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_open_europe_doll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Open Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_open_europe_doll1energeo_pia__LLE_2005_PM_GAINS_open_europe_doll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_open_europe_doll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Open Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_open_europe_doll2energeo_pia__LLE_2005_PM_GAINS_open_europe_doll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_open_europe_yoll1Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Open Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_open_europe_yoll1energeo_pia__LLE_2005_PM_GAINS_open_europe_yoll1RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_2005_PM_GAINS_open_europe_yoll2Loss of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS Open Europe scenarioWCSGeoTIFFLLE_2005_PM_GAINS_open_europe_yoll2energeo_pia__LLE_2005_PM_GAINS_open_europe_yoll2RectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c00_dollLost of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c00_dollenergeo_pia__LLE_vs_GAINS_baseline_c00_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c00_yollLost of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c00_yollenergeo_pia__LLE_vs_GAINS_baseline_c00_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c01_dollLost of Life Expectancy for cohort 30-34 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c01_dollenergeo_pia__LLE_vs_GAINS_baseline_c01_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c01_yollLost of Life Expectancy for cohort 30-34 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c01_yollenergeo_pia__LLE_vs_GAINS_baseline_c01_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c02_dollLost of Life Expectancy for cohort 35-39 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c02_dollenergeo_pia__LLE_vs_GAINS_baseline_c02_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c02_yollLost of Life Expectancy for cohort 35-39 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c02_yollenergeo_pia__LLE_vs_GAINS_baseline_c02_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c03_dollLost of Life Expectancy for cohort 40-44 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c03_dollenergeo_pia__LLE_vs_GAINS_baseline_c03_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c03_yollLost of Life Expectancy for cohort 40-44 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c03_yollenergeo_pia__LLE_vs_GAINS_baseline_c03_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c04_dollLost of Life Expectancy for cohort 45-49 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c04_dollenergeo_pia__LLE_vs_GAINS_baseline_c04_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c04_yollLost of Life Expectancy for cohort 45-49 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c04_yollenergeo_pia__LLE_vs_GAINS_baseline_c04_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c05_dollLost of Life Expectancy for cohort 50-54 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c05_dollenergeo_pia__LLE_vs_GAINS_baseline_c05_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c05_yollLost of Life Expectancy for cohort 50-54 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c05_yollenergeo_pia__LLE_vs_GAINS_baseline_c05_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c06_dollLost of Life Expectancy for cohort 55-59 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c06_dollenergeo_pia__LLE_vs_GAINS_baseline_c06_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c06_yollLost of Life Expectancy for cohort 55-59 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c06_yollenergeo_pia__LLE_vs_GAINS_baseline_c06_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c07_dollLost of Life Expectancy for cohort 60-64 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c07_dollenergeo_pia__LLE_vs_GAINS_baseline_c07_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c07_yollLost of Life Expectancy for cohort 60-64 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c07_yollenergeo_pia__LLE_vs_GAINS_baseline_c07_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c08_dollLost of Life Expectancy for cohort 65-69 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c08_dollenergeo_pia__LLE_vs_GAINS_baseline_c08_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c08_yollLost of Life Expectancy for cohort 65-69 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c08_yollenergeo_pia__LLE_vs_GAINS_baseline_c08_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c09_dollLost of Life Expectancy for cohort 70-74 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c09_dollenergeo_pia__LLE_vs_GAINS_baseline_c09_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c09_yollLost of Life Expectancy for cohort 70-74 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c09_yollenergeo_pia__LLE_vs_GAINS_baseline_c09_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c10_dollLost of Life Expectancy for cohort 75-79 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c10_dollenergeo_pia__LLE_vs_GAINS_baseline_c10_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c10_yollLost of Life Expectancy for cohort 75-79 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c10_yollenergeo_pia__LLE_vs_GAINS_baseline_c10_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c11_dollLost of Life Expectancy for cohort 80-84 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c11_dollenergeo_pia__LLE_vs_GAINS_baseline_c11_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c11_yollLost of Life Expectancy for cohort 80-84 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c11_yollenergeo_pia__LLE_vs_GAINS_baseline_c11_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c12_dollLost of Life Expectancy for cohort 85-89 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c12_dollenergeo_pia__LLE_vs_GAINS_baseline_c12_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c12_yollLost of Life Expectancy for cohort 85-89 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c12_yollenergeo_pia__LLE_vs_GAINS_baseline_c12_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c13_dollLost of Life Expectancy for cohort 90-94 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c13_dollenergeo_pia__LLE_vs_GAINS_baseline_c13_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c13_yollLost of Life Expectancy for cohort 90-94 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c13_yollenergeo_pia__LLE_vs_GAINS_baseline_c13_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c14_dollLost of Life Expectancy for cohort 95-99 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c14_dollenergeo_pia__LLE_vs_GAINS_baseline_c14_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c14_yollLost of Life Expectancy for cohort 95-99 years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c14_yollenergeo_pia__LLE_vs_GAINS_baseline_c14_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c15_dollLost of Life Expectancy for cohort 100+ years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c15_dollenergeo_pia__LLE_vs_GAINS_baseline_c15_dollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_GAINS_baseline_c15_yollLost of Life Expectancy for cohort 100+ years in 2005 due to PM 2.5 from GAINS baseline scenarioWCSGeoTIFFLLE_vs_GAINS_baseline_c15_yollenergeo_pia__LLE_vs_GAINS_baseline_c15_yollRectifiedGridCoverage-13.0625 34.937555.0625 70.0625-13.0625 34.937555.0625 70.0625LLE_vs_TNO_2008_layer_08WCSGeoTIFFLLE_vs_TNO_2008_layer_08energeo__LLE_vs_TNO_2008_layer_08RectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_01_dollLost of Life Expectancy for cohort 30-34 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_01_dollenergeo_pia__LLE_vs_TNO_layer_27_01_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c00_dollLost of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c00_dollenergeo_pia__LLE_vs_TNO_layer_27_c00_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c00_yollLost of Life Expectancy for population over 30 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c00_yollenergeo_pia__LLE_vs_TNO_layer_27_c00_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c01_dollLost of Life Expectancy for cohort 30-34 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c01_dollenergeo_pia__LLE_vs_TNO_layer_27_c01_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c01_yollLost of Life Expectancy for cohort 30-34 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c01_yollenergeo_pia__LLE_vs_TNO_layer_27_c01_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c02_dollLost of Life Expectancy for cohort 35-39 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c02_dollenergeo_pia__LLE_vs_TNO_layer_27_c02_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c02_yollLost of Life Expectancy for cohort 35-39 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c02_yollenergeo_pia__LLE_vs_TNO_layer_27_c02_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c03_dollLost of Life Expectancy for cohort 40-44 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c03_dollenergeo_pia__LLE_vs_TNO_layer_27_c03_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c03_yollLost of Life Expectancy for cohort 40-44 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c03_yollenergeo_pia__LLE_vs_TNO_layer_27_c03_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c04_dollLost of Life Expectancy for cohort 45-49 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c04_dollenergeo_pia__LLE_vs_TNO_layer_27_c04_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c04_yollLost of Life Expectancy for cohort 45-49 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c04_yollenergeo_pia__LLE_vs_TNO_layer_27_c04_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c05_dollLost of Life Expectancy for cohort 50-54 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c05_dollenergeo_pia__LLE_vs_TNO_layer_27_c05_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c05_yollLost of Life Expectancy for cohort 50-54 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c05_yollenergeo_pia__LLE_vs_TNO_layer_27_c05_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c06_dollLost of Life Expectancy for cohort 55-59 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c06_dollenergeo_pia__LLE_vs_TNO_layer_27_c06_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c06_yollLost of Life Expectancy for cohort 55-59 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c06_yollenergeo_pia__LLE_vs_TNO_layer_27_c06_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c07_dollLost of Life Expectancy for cohort 60-64 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c07_dollenergeo_pia__LLE_vs_TNO_layer_27_c07_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c07_yollLost of Life Expectancy for cohort 60-64 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c07_yollenergeo_pia__LLE_vs_TNO_layer_27_c07_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c08_dollLost of Life Expectancy for cohort 65-69 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c08_dollenergeo_pia__LLE_vs_TNO_layer_27_c08_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c08_yollLost of Life Expectancy for cohort 65-69 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c08_yollenergeo_pia__LLE_vs_TNO_layer_27_c08_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c09_dollLost of Life Expectancy for cohort 70-74 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c09_dollenergeo_pia__LLE_vs_TNO_layer_27_c09_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c09_yollLost of Life Expectancy for cohort 70-74 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c09_yollenergeo_pia__LLE_vs_TNO_layer_27_c09_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c10_dollLost of Life Expectancy for cohort 75-79 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c10_dollenergeo_pia__LLE_vs_TNO_layer_27_c10_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c10_yollLost of Life Expectancy for cohort 75-79 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c10_yollenergeo_pia__LLE_vs_TNO_layer_27_c10_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c11_dollLost of Life Expectancy for cohort 80-84 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c11_dollenergeo_pia__LLE_vs_TNO_layer_27_c11_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c11_yollLost of Life Expectancy for cohort 80-84 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c11_yollenergeo_pia__LLE_vs_TNO_layer_27_c11_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c12_dollLost of Life Expectancy for cohort 85-89 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c12_dollenergeo_pia__LLE_vs_TNO_layer_27_c12_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c12_yollLost of Life Expectancy for cohort 85-89 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c12_yollenergeo_pia__LLE_vs_TNO_layer_27_c12_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c13_dollLost of Life Expectancy for cohort 90-94 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c13_dollenergeo_pia__LLE_vs_TNO_layer_27_c13_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c13_yollLost of Life Expectancy for cohort 90-94 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c13_yollenergeo_pia__LLE_vs_TNO_layer_27_c13_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c14_dollLost of Life Expectancy for cohort 95-99 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c14_dollenergeo_pia__LLE_vs_TNO_layer_27_c14_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c14_yollLost of Life Expectancy for cohort 95-99 years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c14_yollenergeo_pia__LLE_vs_TNO_layer_27_c14_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c15_dollLost of Life Expectancy for cohort 100+ years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c15_dollenergeo_pia__LLE_vs_TNO_layer_27_c15_dollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625LLE_vs_TNO_layer_27_c15_yollLost of Life Expectancy for cohort 100+ years in 2005 due to PM 2.5 from Total PM 2.5 (TNO 2008)WCSGeoTIFFLLE_vs_TNO_layer_27_c15_yollenergeo_pia__LLE_vs_TNO_layer_27_c15_yollRectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625Laayoune-Boujdour-Sakia-Hamra_BNILaayoune-Boujdour-Sakia-Hamra_BNIWCSVRTmapserv__Laayoune-Boujdour-Sakia-Hamra_BNIRectifiedGridCoverage-15.0004 24.39001891-11.478831940000001 28.2151-15.0004 24.39001891-11.478831940000001 28.2151Laayoune-Boujdour-Sakia-Hamra_GHILaayoune-Boujdour-Sakia-Hamra_GHIWCSVRTmapserv__Laayoune-Boujdour-Sakia-Hamra_GHIRectifiedGridCoverage-15.0004 24.39001891-11.478831940000001 28.2151-15.0004 24.39001891-11.478831940000001 28.2151Laayoune-Boujdour-Sakia-Hamra_ventLaayoune-Boujdour-Sakia-Hamra_ventWCSVRTmapserv__Laayoune-Boujdour-Sakia-Hamra_ventRectifiedGridCoverage-15.0004 24.390016-11.4788311 28.2151-15.0004 24.390016-11.4788311 28.2151Marrakech-Tensift-Haouz_BNIMarrakech-Tensift-Haouz_BNIWCSVRTmapserv__Marrakech-Tensift-Haouz_BNIRectifiedGridCoverage-9.84236 30.80916533-6.975691039999999 32.8157-9.84236 30.80916533-6.975691039999999 32.8157Marrakech-Tensift-Haouz_GHIMarrakech-Tensift-Haouz_GHIWCSVRTmapserv__Marrakech-Tensift-Haouz_GHIRectifiedGridCoverage-9.84236 30.80916533-6.975691039999999 32.8157-9.84236 30.80916533-6.975691039999999 32.8157Marrakech-Tensift-Haouz_ventMarrakech-Tensift-Haouz_ventWCSVRTmapserv__Marrakech-Tensift-Haouz_ventRectifiedGridCoverage-9.84236 30.809168-6.975687599999999 32.8157-9.84236 30.809168-6.975687599999999 32.8157Meknes-Tafilalet_BNIMeknes-Tafilalet_BNIWCSVRTmapserv__Meknes-Tafilalet_BNIRectifiedGridCoverage-6.39785 30.00611712-3.2439863399999997 34.268-6.39785 30.00611712-3.2439863399999997 34.268Meknes-Tafilalet_GHIMeknes-Tafilalet_GHIWCSVRTmapserv__Meknes-Tafilalet_GHIRectifiedGridCoverage-6.39785 30.00611712-3.2439863399999997 34.268-6.39785 30.00611712-3.2439863399999997 34.268Meknes-Tafilalet_ventMeknes-Tafilalet_ventWCSVRTmapserv__Meknes-Tafilalet_ventRectifiedGridCoverage-6.39785 30.006112-3.2439881 34.268-6.39785 30.006112-3.2439881 34.268Mont-Rif-Tazghine_BNIMont-Rif-Tazghine_BNIWCSVRTmapserv__Mont-Rif-Tazghine_BNIRectifiedGridCoverage-4.05912 31.70965328-0.9974078199999998 35.4401-4.05912 31.70965328-0.9974078199999998 35.4401Mont-Rif-Tazghine_GHIMont-Rif-Tazghine_GHIWCSVRTmapserv__Mont-Rif-Tazghine_GHIRectifiedGridCoverage-4.05912 31.70965328-0.9974078199999998 35.4401-4.05912 31.70965328-0.9974078199999998 35.4401Mont-Rif-Tazghine_ventMont-Rif-Tazghine_ventWCSVRTmapserv__Mont-Rif-Tazghine_ventRectifiedGridCoverage-4.05912 31.7096488-0.9974151999999998 35.4401-4.05912 31.7096488-0.9974151999999998 35.4401Morocco_BNIMorocco_BNIWCSVRTmapserv__Morocco_BNIRectifiedGridCoverage-17.104 20.768182859999996-1.0314562599999988 35.9242-17.104 20.768182859999996-1.0314562599999988 35.9242Morocco_BNI_horizMorocco_BNI_horizWCSVRTmapserv__Morocco_BNI_horizRectifiedGridCoverage-17.104 20.768182859999996-1.0314562599999988 35.9242-17.104 20.768182859999996-1.0314562599999988 35.9242Morocco_BNI_maskMorocco_BNI_maskWCSVRTmapserv__Morocco_BNI_maskRectifiedGridCoverage-17.104 20.768182859999996-1.0314562599999988 35.9242-17.104 20.768182859999996-1.0314562599999988 35.9242Morocco_GHIMorocco_GHIWCSVRTmapserv__Morocco_GHIRectifiedGridCoverage-17.1054 20.76958583-0.9973823899999985 35.922638-17.1054 20.76958583-0.9973823899999985 35.922638Morocco_GHI_horizMorocco_GHI_horizWCSVRTmapserv__Morocco_GHI_horizRectifiedGridCoverage-17.104 20.768182859999996-1.0314562599999988 35.9242-17.104 20.768182859999996-1.0314562599999988 35.9242Morocco_GHI_maskMorocco_GHI_maskWCSVRTmapserv__Morocco_GHI_maskRectifiedGridCoverage-17.104 20.768182859999996-1.0314562599999988 35.9242-17.104 20.768182859999996-1.0314562599999988 35.9242Morocco_SRTMMorocco_SRTMWCSVRTmapserv__Morocco_SRTMRectifiedGridCoverage-17.1054 20.76958583-0.9973823899999985 35.922638-17.1054 20.76958583-0.9973823899999985 35.922638Morocco_UVMorocco_UVWCSVRTmapserv__Morocco_UVRectifiedGridCoverage-17.1054 20.769547830000004-0.9973823899999985 35.9226-17.1054 20.769547830000004-0.9973823899999985 35.9226Morocco_UVBMorocco_UVBWCSVRTmapserv__Morocco_UVBRectifiedGridCoverage-17.1054 20.769547830000004-0.9973823899999985 35.9226-17.1054 20.769547830000004-0.9973823899999985 35.9226Morocco_WIND_2009_d2Morocco_WIND_2009_d2WCSVRTmapserv__Morocco_WIND_2009_d2RectifiedGridCoverage-21.0348 17.87985782.3652467999999978 38.9799-21.0348 17.87985782.3652467999999978 38.9799Morocco_WIND_2009_d3Morocco_WIND_2009_d3WCSVRTmapserv__Morocco_WIND_2009_d3RectifiedGridCoverage-6.67941 31.9416409-1.179399 36.49165-6.67941 31.9416409-1.179399 36.49165Oued-Eddahab-Lagouira_BNIOued-Eddahab-Lagouira_BNIWCSVRTmapserv__Oued-Eddahab-Lagouira_BNIRectifiedGridCoverage-17.1054 20.76954558-11.999986589999999 24.5872-17.1054 20.76954558-11.999986589999999 24.5872Oued-Eddahab-Lagouira_GHIOued-Eddahab-Lagouira_GHIWCSVRTmapserv__Oued-Eddahab-Lagouira_GHIRectifiedGridCoverage-17.1054 20.76954558-11.999986589999999 24.5872-17.1054 20.76954558-11.999986589999999 24.5872Oued-Eddahab-Lagouira_ventOued-Eddahab-Lagouira_ventWCSVRTmapserv__Oued-Eddahab-Lagouira_ventRectifiedGridCoverage-17.1054 20.769541-11.9999736 24.5872-17.1054 20.769541-11.9999736 24.5872R_tilt00deg_azim0degWCSGeoTIFFR_tilt00deg_azim0degaip3map__R_tilt00deg_azim0degRectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim15degEWCSGeoTIFFR_tilt00deg_azim15degEaip3map__R_tilt00deg_azim15degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim15degOWCSGeoTIFFR_tilt00deg_azim15degOaip3map__R_tilt00deg_azim15degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim30degEWCSGeoTIFFR_tilt00deg_azim30degEaip3map__R_tilt00deg_azim30degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim30degOWCSGeoTIFFR_tilt00deg_azim30degOaip3map__R_tilt00deg_azim30degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim45degEWCSGeoTIFFR_tilt00deg_azim45degEaip3map__R_tilt00deg_azim45degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim45degOWCSGeoTIFFR_tilt00deg_azim45degOaip3map__R_tilt00deg_azim45degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim90degEWCSGeoTIFFR_tilt00deg_azim90degEaip3map__R_tilt00deg_azim90degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt00deg_azim90degOWCSGeoTIFFR_tilt00deg_azim90degOaip3map__R_tilt00deg_azim90degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim0degWCSGeoTIFFR_tilt30deg_azim0degaip3map__R_tilt30deg_azim0degRectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim15degEWCSGeoTIFFR_tilt30deg_azim15degEaip3map__R_tilt30deg_azim15degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim15degOWCSGeoTIFFR_tilt30deg_azim15degOaip3map__R_tilt30deg_azim15degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim30degEWCSGeoTIFFR_tilt30deg_azim30degEaip3map__R_tilt30deg_azim30degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim30degOWCSGeoTIFFR_tilt30deg_azim30degOaip3map__R_tilt30deg_azim30degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim45degEWCSGeoTIFFR_tilt30deg_azim45degEaip3map__R_tilt30deg_azim45degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim45degOWCSGeoTIFFR_tilt30deg_azim45degOaip3map__R_tilt30deg_azim45degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim90degEWCSGeoTIFFR_tilt30deg_azim90degEaip3map__R_tilt30deg_azim90degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt30deg_azim90degOWCSGeoTIFFR_tilt30deg_azim90degOaip3map__R_tilt30deg_azim90degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim0degWCSGeoTIFFR_tilt45deg_azim0degaip3map__R_tilt45deg_azim0degRectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim15degEWCSGeoTIFFR_tilt45deg_azim15degEaip3map__R_tilt45deg_azim15degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim15degOWCSGeoTIFFR_tilt45deg_azim15degOaip3map__R_tilt45deg_azim15degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim30degEWCSGeoTIFFR_tilt45deg_azim30degEaip3map__R_tilt45deg_azim30degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim30degOWCSGeoTIFFR_tilt45deg_azim30degOaip3map__R_tilt45deg_azim30degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim45degEWCSGeoTIFFR_tilt45deg_azim45degEaip3map__R_tilt45deg_azim45degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim45degOWCSGeoTIFFR_tilt45deg_azim45degOaip3map__R_tilt45deg_azim45degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim90degEWCSGeoTIFFR_tilt45deg_azim90degEaip3map__R_tilt45deg_azim90degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt45deg_azim90degOWCSGeoTIFFR_tilt45deg_azim90degOaip3map__R_tilt45deg_azim90degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim0degWCSGeoTIFFR_tilt60deg_azim0degaip3map__R_tilt60deg_azim0degRectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim15degEWCSGeoTIFFR_tilt60deg_azim15degEaip3map__R_tilt60deg_azim15degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim15degOWCSGeoTIFFR_tilt60deg_azim15degOaip3map__R_tilt60deg_azim15degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim30degEWCSGeoTIFFR_tilt60deg_azim30degEaip3map__R_tilt60deg_azim30degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim30degOWCSGeoTIFFR_tilt60deg_azim30degOaip3map__R_tilt60deg_azim30degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim45degEWCSGeoTIFFR_tilt60deg_azim45degEaip3map__R_tilt60deg_azim45degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim45degOWCSGeoTIFFR_tilt60deg_azim45degOaip3map__R_tilt60deg_azim45degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim90degEWCSGeoTIFFR_tilt60deg_azim90degEaip3map__R_tilt60deg_azim90degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt60deg_azim90degOWCSGeoTIFFR_tilt60deg_azim90degOaip3map__R_tilt60deg_azim90degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim0degWCSGeoTIFFR_tilt90deg_azim0degaip3map__R_tilt90deg_azim0degRectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim15degEWCSGeoTIFFR_tilt90deg_azim15degEaip3map__R_tilt90deg_azim15degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim15degOWCSGeoTIFFR_tilt90deg_azim15degOaip3map__R_tilt90deg_azim15degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim30degEWCSGeoTIFFR_tilt90deg_azim30degEaip3map__R_tilt90deg_azim30degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim30degOWCSGeoTIFFR_tilt90deg_azim30degOaip3map__R_tilt90deg_azim30degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim45degEWCSGeoTIFFR_tilt90deg_azim45degEaip3map__R_tilt90deg_azim45degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim45degOWCSGeoTIFFR_tilt90deg_azim45degOaip3map__R_tilt90deg_azim45degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim90degEWCSGeoTIFFR_tilt90deg_azim90degEaip3map__R_tilt90deg_azim90degERectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0R_tilt90deg_azim90degOWCSGeoTIFFR_tilt90deg_azim90degOaip3map__R_tilt90deg_azim90degORectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0Rabat-Sale-Zemmour-Zaer_BNIRabat-Sale-Zemmour-Zaer_BNIWCSVRTmapserv__Rabat-Sale-Zemmour-Zaer_BNIRectifiedGridCoverage-7.12681 33.142116249999994-5.74472886 34.1874-7.12681 33.142116249999994-5.74472886 34.1874Rabat-Sale-Zemmour-Zaer_GHIRabat-Sale-Zemmour-Zaer_GHIWCSVRTmapserv__Rabat-Sale-Zemmour-Zaer_GHIRectifiedGridCoverage-7.12681 33.142116249999994-5.74472886 34.1874-7.12681 33.142116249999994-5.74472886 34.1874Rabat-Sale-Zemmour-Zaer_ventRabat-Sale-Zemmour-Zaer_ventWCSVRTmapserv__Rabat-Sale-Zemmour-Zaer_ventRectifiedGridCoverage-7.12681 33.142116599999994-5.7447272 34.1874-7.12681 33.142116599999994-5.7447272 34.1874SRTM v4.1compressed-srtm-v4.1WCSVRTmapserv__srtmRectifiedGridCoverage-180.0 -60.00000000000165180.00000000000495 60.0-180.0 -60.00000000000165180.00000000000495 60.0Shadow_fDNI_8b_geotiff.tif_geotiffShadow_fDNI_8b_geotiff.tif_geotiffWCSGeoTIFFmapserv__Shadow_fDNI_8b_geotiff.tif_geotiffRectifiedGridCoverage-16.75 55.91666745.005863 75.9242-16.75 55.91666745.005863 75.9242Shadow_fDuration_8b_geotiff.tif_geotiffShadow_fDuration_8b_geotiff.tif_geotiffWCSGeoTIFFmapserv__Shadow_fDuration_8b_geotiff.tif_geotiffRectifiedGridCoverage-16.75 55.91666745.005863 75.9242-16.75 55.91666745.005863 75.9242Shadow_fGHI_8b_geotiff.tif_geotiffShadow_fGHI_8b_geotiff.tif_geotiffWCSGeoTIFFmapserv__Shadow_fGHI_8b_geotiff.tif_geotiffRectifiedGridCoverage-16.75 55.91666745.005863 75.9242-16.75 55.91666745.005863 75.9242Souss-Massa-Draa_BNISouss-Massa-Draa_BNIWCSVRTmapserv__Souss-Massa-Draa_BNIRectifiedGridCoverage-10.4398 29.0318756-5.11762012 32.0342-10.4398 29.0318756-5.11762012 32.0342Souss-Massa-Draa_GHISouss-Massa-Draa_GHIWCSVRTmapserv__Souss-Massa-Draa_GHIRectifiedGridCoverage-10.4398 29.0318756-5.11762012 32.0342-10.4398 29.0318756-5.11762012 32.0342Souss-Massa-Draa_ventSouss-Massa-Draa_ventWCSVRTmapserv__Souss-Massa-Draa_ventRectifiedGridCoverage-10.4398 29.031872-5.126025599999999 32.0342-10.4398 29.031872-5.126025599999999 32.0342Tadla-Azilal_BNITadla-Azilal_BNIWCSVRTmapserv__Tadla-Azilal_BNIRectifiedGridCoverage-7.26641 31.35656023-5.50070864 32.7654-7.26641 31.35656023-5.50070864 32.7654Tadla-Azilal_GHITadla-Azilal_GHIWCSVRTmapserv__Tadla-Azilal_GHIRectifiedGridCoverage-7.26641 31.35656023-5.50070864 32.7654-7.26641 31.35656023-5.50070864 32.7654Tadla-Azilal_ventTadla-Azilal_ventWCSVRTmapserv__Tadla-Azilal_ventRectifiedGridCoverage-7.26641 31.356559-5.500704399999999 32.7654-7.26641 31.356559-5.500704399999999 32.7654Tanger-Tetouan_BNITanger-Tetouan_BNIWCSVRTmapserv__Tanger-Tetouan_BNIRectifiedGridCoverage-6.25014 34.7145383-4.45263984 35.9226-6.25014 34.7145383-4.45263984 35.9226Tanger-Tetouan_GHITanger-Tetouan_GHIWCSVRTmapserv__Tanger-Tetouan_GHIRectifiedGridCoverage-6.25014 34.7145383-4.45263984 35.9226-6.25014 34.7145383-4.45263984 35.9226Tanger-Tetouan_ventTanger-Tetouan_ventWCSVRTmapserv__Tanger-Tetouan_ventRectifiedGridCoverage-6.25014 34.7145408-4.452642 35.9226-6.25014 34.7145408-4.452642 35.9226Taza-Hoceima-Taounate_BNITaza-Hoceima-Taounate_BNIWCSVRTmapserv__Taza-Hoceima-Taounate_BNIRectifiedGridCoverage-5.48878 33.56941292-2.9459096 35.2621-5.48878 33.56941292-2.9459096 35.2621Taza-Hoceima-Taounate_GHITaza-Hoceima-Taounate_GHIWCSVRTmapserv__Taza-Hoceima-Taounate_GHIRectifiedGridCoverage-5.48878 33.56941292-2.9459096 35.2621-5.48878 33.56941292-2.9459096 35.2621Taza-Hoceima-Taounate_ventTaza-Hoceima-Taounate_ventWCSVRTmapserv__Taza-Hoceima-Taounate_ventRectifiedGridCoverage-5.48878 33.56941-2.9459047000000003 35.2621-5.48878 33.56941-2.9459047000000003 35.2621Total_PM_2.5_from_TNO_2008Lost of life expectancy for cohorts 30 to 95 years old. Total PM 2.5 from TNO 2008WCSGeoTIFFTotal_PM_2.5_from_TNO_2008energeo__Total_PM_2.5_from_TNO_2008RectifiedGridCoverage-15.0625 34.937535.0625 70.0625-15.0625 34.937535.0625 70.0625WindIntensity1985global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1985merra__WindIntensity1985RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1986global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1986merra__WindIntensity1986RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1987global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1987merra__WindIntensity1987RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1988global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1988merra__WindIntensity1988RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1989global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1989merra__WindIntensity1989RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1990global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1990merra__WindIntensity1990RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1991global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1991merra__WindIntensity1991RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1992global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1992merra__WindIntensity1992RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1993global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1993merra__WindIntensity1993RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1994global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1994merra__WindIntensity1994RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1995global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1995merra__WindIntensity1995RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1996global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1996merra__WindIntensity1996RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1997global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1997merra__WindIntensity1997RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1998global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1998merra__WindIntensity1998RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity1999global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity1999merra__WindIntensity1999RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2000global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2000merra__WindIntensity2000RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2001global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2001merra__WindIntensity2001RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2002global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2002merra__WindIntensity2002RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2003global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2003merra__WindIntensity2003RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2004global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2004merra__WindIntensity2004RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2005global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2005merra__WindIntensity2005RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2006global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2006merra__WindIntensity2006RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2007global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2007merra__WindIntensity2007RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2008global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2008merra__WindIntensity2008RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2009global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2009merra__WindIntensity2009RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2010global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2010merra__WindIntensity2010RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883WindIntensity2011global 10-m wind intensity from MERRA for the entire 1985 yearWCSGeoTIFFWindIntensity2011merra__WindIntensity2011RectifiedGridCoverage-180.333951762523 -90.25069637877180.33395176231704 90.25069637883-180.333951762523 -90.25069637877180.33395176231704 90.25069637883Yearly irradiation on tilted panel derived from NASE SSE, 000 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_000_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_000_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 005 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_005_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_005_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 010 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_010_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_010_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 015 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_015_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_015_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 020 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_020_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_020_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 025 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_025_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_025_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 030 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_030_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_030_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 035 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_035_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_035_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 040 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_040_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_040_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 045 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_045_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_045_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 050 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_050_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_050_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 055 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_055_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_055_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 060 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_060_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_060_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 065 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_065_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_065_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 070 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_070_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_070_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 075 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_075_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_075_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 080 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_080_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_080_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 085 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_085_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_085_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, 090 tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_090_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_090_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly irradiation on tilted panel derived from NASE SSE, lat tilt, EqWCSGeoTIFFyearly_nasa_sse_derived_irradiation_tilt_lat_azim_Eqproject_iea__yearly_nasa_sse_derived_irradiation_tilt_lat_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 000 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_000_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_000_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 005 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_005_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_005_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 010 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_010_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_010_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 015 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_015_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_015_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 020 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_020_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_020_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 025 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_025_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_025_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 030 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_030_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_030_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 035 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_035_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_035_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 040 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_040_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_040_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 045 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_045_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_045_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 050 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_050_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_050_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 055 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_055_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_055_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 060 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_060_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_060_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 065 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_065_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_065_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 070 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_070_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_070_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 075 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_075_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_075_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 080 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_080_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_080_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 085 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_085_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_085_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, 090 tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_090_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_090_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0Yearly surface per irradiation on tilted panel derived from NASE SSE, lat tilt, EqWCSGeoTIFFyearly_nasa_sse_inv_irradiation_tilt_lat_azim_Eqproject_iea__yearly_nasa_sse_inv_irradiation_tilt_lat_azim_EqRectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0australia_january_epsg4326WCSGeoTIFFaustralia_epsg4326australia__australia_january_epsg4326RectifiedGridCoverage112.02500000000012 -43.97500000000006153.9750000000002 -10.025000000000011112.02500000000012 -43.97500000000006153.9750000000002 -10.025000000000011bluemarble-2048 from NASA's Earth Observatorybluemarble-2048WCSGeoTIFFgn__bluemarble-2048RectifiedGridCoverage-180.0 -90.0180.0 90.0-180.0 -90.0180.0 90.0cc_15_30_hOM_bfond_hFR_LoLegend for understanding map title names and their related configuration eg: cc_15_50_lOM_bfond_hFR_Lo_geo Each parameter is separated with an underscore (_) (1) Impact category: cc= climate change, res= resources, daly= daly, eco= ecosystem (2) Life time: 15 years vs 20 years vs 25 years (3) Number of wind turbines per farm: 30 vs 40 vs 50 (max.capacity : 50 wind turbines per farm) (4) Maintenance scenario: low Operating Maintenance (lOM) or high Operating Maintenance (hOM) (5) Foundation type: only fixed (xfond) vs floating & fixed (both: bfond) (6) Failure rate: low Failure Rate (lFR) or high Failure Rate (hFR) (7) Electricity loss: 4 % electricity loss included (Lo) vs non-included electricity loss (NoLo) (8) geo: GeoTIFF fileWCSGeoTIFFcc_15_30_hOM_bfond_hFR_Loenergeo__cc_15_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_30_hOM_bfond_lFR_LoWCSGeoTIFFcc_15_30_hOM_bfond_lFR_Loenergeo__cc_15_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_30_lOM_bfond_hFR_LoWCSGeoTIFFcc_15_30_lOM_bfond_hFR_Loenergeo__cc_15_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_30_lOM_bfond_lFR_LoWCSGeoTIFFcc_15_30_lOM_bfond_lFR_Loenergeo__cc_15_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_40_hOM_bfond_hFR_LoWCSGeoTIFFcc_15_40_hOM_bfond_hFR_Loenergeo__cc_15_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_40_hOM_bfond_lFR_LoWCSGeoTIFFcc_15_40_hOM_bfond_lFR_Loenergeo__cc_15_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_40_lOM_bfond_hFR_LoWCSGeoTIFFcc_15_40_lOM_bfond_hFR_Loenergeo__cc_15_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_40_lOM_bfond_lFR_LoWCSGeoTIFFcc_15_40_lOM_bfond_lFR_Loenergeo__cc_15_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_50_hOM_bfond_hFR_LoWCSGeoTIFFcc_15_50_hOM_bfond_hFR_Loenergeo__cc_15_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_50_hOM_bfond_lFR_LoWCSGeoTIFFcc_15_50_hOM_bfond_lFR_Loenergeo__cc_15_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_50_lOM_bfond_hFR_LoWCSGeoTIFFcc_15_50_lOM_bfond_hFR_Loenergeo__cc_15_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_15_50_lOM_bfond_lFR_LoWCSGeoTIFFcc_15_50_lOM_bfond_lFR_Loenergeo__cc_15_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_30_hOM_bfond_hFR_LoWCSGeoTIFFcc_20_30_hOM_bfond_hFR_Loenergeo__cc_20_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_30_hOM_bfond_lFR_LoWCSGeoTIFFcc_20_30_hOM_bfond_lFR_Loenergeo__cc_20_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_30_lOM_bfond_hFR_LoWCSGeoTIFFcc_20_30_lOM_bfond_hFR_Loenergeo__cc_20_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_30_lOM_bfond_lFR_LoWCSGeoTIFFcc_20_30_lOM_bfond_lFR_Loenergeo__cc_20_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_40_hOM_bfond_hFR_LoWCSGeoTIFFcc_20_40_hOM_bfond_hFR_Loenergeo__cc_20_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_40_hOM_bfond_lFR_LoWCSGeoTIFFcc_20_40_hOM_bfond_lFR_Loenergeo__cc_20_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_40_lOM_bfond_hFR_LoWCSGeoTIFFcc_20_40_lOM_bfond_hFR_Loenergeo__cc_20_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_40_lOM_bfond_lFR_LoWCSGeoTIFFcc_20_40_lOM_bfond_lFR_Loenergeo__cc_20_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_50_hOM_bfond_hFR_LoWCSGeoTIFFcc_20_50_hOM_bfond_hFR_Loenergeo__cc_20_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_50_hOM_bfond_lFR_LoWCSGeoTIFFcc_20_50_hOM_bfond_lFR_Loenergeo__cc_20_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_50_lOM_bfond_hFR_LoWCSGeoTIFFcc_20_50_lOM_bfond_hFR_Loenergeo__cc_20_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_20_50_lOM_bfond_lFR_LoWCSGeoTIFFcc_20_50_lOM_bfond_lFR_Loenergeo__cc_20_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_30_hOM_bfond_hFR_LoWCSGeoTIFFcc_25_30_hOM_bfond_hFR_Loenergeo__cc_25_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_30_hOM_bfond_lFR_LoWCSGeoTIFFcc_25_30_hOM_bfond_lFR_Loenergeo__cc_25_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_30_lOM_bfond_hFR_LoWCSGeoTIFFcc_25_30_lOM_bfond_hFR_Loenergeo__cc_25_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_30_lOM_bfond_lFR_LoWCSGeoTIFFcc_25_30_lOM_bfond_lFR_Loenergeo__cc_25_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_40_hOM_bfond_hFR_LoWCSGeoTIFFcc_25_40_hOM_bfond_hFR_Loenergeo__cc_25_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_40_hOM_bfond_lFR_LoWCSGeoTIFFcc_25_40_hOM_bfond_lFR_Loenergeo__cc_25_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_40_lOM_bfond_hFR_LoWCSGeoTIFFcc_25_40_lOM_bfond_hFR_Loenergeo__cc_25_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_40_lOM_bfond_lFR_LoWCSGeoTIFFcc_25_40_lOM_bfond_lFR_Loenergeo__cc_25_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_50_hOM_bfond_hFR_LoWCSGeoTIFFcc_25_50_hOM_bfond_hFR_Loenergeo__cc_25_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_50_hOM_bfond_lFR_LoWCSGeoTIFFcc_25_50_hOM_bfond_lFR_Loenergeo__cc_25_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_50_lOM_bfond_hFR_LoWCSGeoTIFFcc_25_50_lOM_bfond_hFR_Loenergeo__cc_25_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449cc_25_50_lOM_bfond_lFR_LoLegend for understanding map title names and their related configuration eg: cc_15_50_lOM_bfond_hFR_Lo_geo Each parameter is separated with an underscore (_) (1) Impact category: cc= climate change, res= resources, daly= daly, eco= ecosystem (2) Life time: 15 years vs 20 years vs 25 years (3) Number of wind turbines per farm: 30 vs 40 vs 50 (max.capacity : 50 wind turbines per farm) (4) Maintenance scenario: low Operating Maintenance (lOM) or high Operating Maintenance (hOM) (5) Foundation type: only fixed (xfond) vs floating & fixed (both: bfond) (6) Failure rate: low Failure Rate (lFR) or high Failure Rate (hFR) (7) Electricity loss: 4 % electricity loss included (Lo) vs non-included electricity loss (NoLo) (8) geo: GeoTIFF fileWCSGeoTIFFcc_25_50_lOM_bfond_lFR_Loenergeo__cc_25_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daily_irradiation_dni_yearWCSGeoTIFFdaily_irradiation_dni_yeartmp__daily_irradiation_dni_yearRectifiedGridCoverage24.0 32.037.5 43.024.0 32.037.5 43.0daily_irradiation_ghi_2005_octoberWCSGeoTIFFdaily_irradiation_ghi_2005_octobertmp__daily_irradiation_ghi_2005_octoberRectifiedGridCoverage24.0 10.037.5 21.024.0 10.037.5 21.0daly_15_30_hOM_bfond_hFR_LoWCSGeoTIFFdaly_15_30_hOM_bfond_hFR_Loenergeo__daly_15_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_30_hOM_bfond_lFR_LoWCSGeoTIFFdaly_15_30_hOM_bfond_lFR_Loenergeo__daly_15_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_30_lOM_bfond_hFR_LoWCSGeoTIFFdaly_15_30_lOM_bfond_hFR_Loenergeo__daly_15_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_30_lOM_bfond_lFR_LoWCSGeoTIFFdaly_15_30_lOM_bfond_lFR_Loenergeo__daly_15_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_40_hOM_bfond_hFR_LoWCSGeoTIFFdaly_15_40_hOM_bfond_hFR_Loenergeo__daly_15_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_40_hOM_bfond_lFR_LoWCSGeoTIFFdaly_15_40_hOM_bfond_lFR_Loenergeo__daly_15_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_40_lOM_bfond_hFR_LoWCSGeoTIFFdaly_15_40_lOM_bfond_hFR_Loenergeo__daly_15_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_40_lOM_bfond_lFR_LoWCSGeoTIFFdaly_15_40_lOM_bfond_lFR_Loenergeo__daly_15_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_50_hOM_bfond_hFR_LoWCSGeoTIFFdaly_15_50_hOM_bfond_hFR_Loenergeo__daly_15_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_50_hOM_bfond_lFR_LoWCSGeoTIFFdaly_15_50_hOM_bfond_lFR_Loenergeo__daly_15_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_50_lOM_bfond_hFR_LoWCSGeoTIFFdaly_15_50_lOM_bfond_hFR_Loenergeo__daly_15_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_15_50_lOM_bfond_lFR_LoWCSGeoTIFFdaly_15_50_lOM_bfond_lFR_Loenergeo__daly_15_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_30_hOM_bfond_hFR_LoWCSGeoTIFFdaly_20_30_hOM_bfond_hFR_Loenergeo__daly_20_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_30_hOM_bfond_lFR_LoWCSGeoTIFFdaly_20_30_hOM_bfond_lFR_Loenergeo__daly_20_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_30_lOM_bfond_hFR_LoWCSGeoTIFFdaly_20_30_lOM_bfond_hFR_Loenergeo__daly_20_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_30_lOM_bfond_lFR_LoWCSGeoTIFFdaly_20_30_lOM_bfond_lFR_Loenergeo__daly_20_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_40_hOM_bfond_hFR_LoWCSGeoTIFFdaly_20_40_hOM_bfond_hFR_Loenergeo__daly_20_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_40_hOM_bfond_lFR_LoWCSGeoTIFFdaly_20_40_hOM_bfond_lFR_Loenergeo__daly_20_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_40_lOM_bfond_hFR_LoWCSGeoTIFFdaly_20_40_lOM_bfond_hFR_Loenergeo__daly_20_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_40_lOM_bfond_lFR_LoWCSGeoTIFFdaly_20_40_lOM_bfond_lFR_Loenergeo__daly_20_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_50_hOM_bfond_hFR_LoWCSGeoTIFFdaly_20_50_hOM_bfond_hFR_Loenergeo__daly_20_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_50_hOM_bfond_lFR_LoWCSGeoTIFFdaly_20_50_hOM_bfond_lFR_Loenergeo__daly_20_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_50_lOM_bfond_hFR_LoWCSGeoTIFFdaly_20_50_lOM_bfond_hFR_Loenergeo__daly_20_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_20_50_lOM_bfond_lFR_LoWCSGeoTIFFdaly_20_50_lOM_bfond_lFR_Loenergeo__daly_20_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_30_hOM_bfond_hFR_LoWCSGeoTIFFdaly_25_30_hOM_bfond_hFR_Loenergeo__daly_25_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_30_hOM_bfond_lFR_LoWCSGeoTIFFdaly_25_30_hOM_bfond_lFR_Loenergeo__daly_25_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_30_lOM_bfond_hFR_LoWCSGeoTIFFdaly_25_30_lOM_bfond_hFR_Loenergeo__daly_25_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_30_lOM_bfond_lFR_LoWCSGeoTIFFdaly_25_30_lOM_bfond_lFR_Loenergeo__daly_25_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_40_hOM_bfond_hFR_LoWCSGeoTIFFdaly_25_40_hOM_bfond_hFR_Loenergeo__daly_25_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_40_hOM_bfond_lFR_LoWCSGeoTIFFdaly_25_40_hOM_bfond_lFR_Loenergeo__daly_25_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_40_lOM_bfond_hFR_LoWCSGeoTIFFdaly_25_40_lOM_bfond_hFR_Loenergeo__daly_25_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_40_lOM_bfond_lFR_LoWCSGeoTIFFdaly_25_40_lOM_bfond_lFR_Loenergeo__daly_25_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_50_hOM_bfond_hFR_LoWCSGeoTIFFdaly_25_50_hOM_bfond_hFR_Loenergeo__daly_25_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_50_hOM_bfond_lFR_LoWCSGeoTIFFdaly_25_50_hOM_bfond_lFR_Loenergeo__daly_25_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_50_lOM_bfond_hFR_LoWCSGeoTIFFdaly_25_50_lOM_bfond_hFR_Loenergeo__daly_25_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449daly_25_50_lOM_bfond_lFR_LoWCSGeoTIFFdaly_25_50_lOM_bfond_lFR_Loenergeo__daly_25_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 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66.023866348449eco_15_40_hOM_bfond_hFR_LoWCSGeoTIFFeco_15_40_hOM_bfond_hFR_Loenergeo__eco_15_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_40_hOM_bfond_lFR_LoWCSGeoTIFFeco_15_40_hOM_bfond_lFR_Loenergeo__eco_15_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_40_lOM_bfond_hFR_LoWCSGeoTIFFeco_15_40_lOM_bfond_hFR_Loenergeo__eco_15_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_40_lOM_bfond_lFR_LoWCSGeoTIFFeco_15_40_lOM_bfond_lFR_Loenergeo__eco_15_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_50_hOM_bfond_hFR_LoWCSGeoTIFFeco_15_50_hOM_bfond_hFR_Loenergeo__eco_15_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_50_hOM_bfond_lFR_LoWCSGeoTIFFeco_15_50_hOM_bfond_lFR_Loenergeo__eco_15_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_50_lOM_bfond_hFR_LoWCSGeoTIFFeco_15_50_lOM_bfond_hFR_Loenergeo__eco_15_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_15_50_lOM_bfond_lFR_LoWCSGeoTIFFeco_15_50_lOM_bfond_lFR_Loenergeo__eco_15_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_30_hOM_bfond_hFR_LoWCSGeoTIFFeco_20_30_hOM_bfond_hFR_Loenergeo__eco_20_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_30_hOM_bfond_lFR_LoWCSGeoTIFFeco_20_30_hOM_bfond_lFR_Loenergeo__eco_20_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_30_lOM_bfond_hFR_LoWCSGeoTIFFeco_20_30_lOM_bfond_hFR_Loenergeo__eco_20_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_30_lOM_bfond_lFR_LoWCSGeoTIFFeco_20_30_lOM_bfond_lFR_Loenergeo__eco_20_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_40_hOM_bfond_hFR_LoWCSGeoTIFFeco_20_40_hOM_bfond_hFR_Loenergeo__eco_20_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_40_hOM_bfond_lFR_LoWCSGeoTIFFeco_20_40_hOM_bfond_lFR_Loenergeo__eco_20_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_40_lOM_bfond_hFR_LoWCSGeoTIFFeco_20_40_lOM_bfond_hFR_Loenergeo__eco_20_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_40_lOM_bfond_lFR_LoWCSGeoTIFFeco_20_40_lOM_bfond_lFR_Loenergeo__eco_20_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_50_hOM_bfond_hFR_LoWCSGeoTIFFeco_20_50_hOM_bfond_hFR_Loenergeo__eco_20_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_50_hOM_bfond_lFR_LoWCSGeoTIFFeco_20_50_hOM_bfond_lFR_Loenergeo__eco_20_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_50_lOM_bfond_hFR_LoWCSGeoTIFFeco_20_50_lOM_bfond_hFR_Loenergeo__eco_20_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_20_50_lOM_bfond_lFR_LoWCSGeoTIFFeco_20_50_lOM_bfond_lFR_Loenergeo__eco_20_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_30_hOM_bfond_hFR_LoWCSGeoTIFFeco_25_30_hOM_bfond_hFR_Loenergeo__eco_25_30_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_30_hOM_bfond_lFR_LoWCSGeoTIFFeco_25_30_hOM_bfond_lFR_Loenergeo__eco_25_30_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_30_lOM_bfond_hFR_LoWCSGeoTIFFeco_25_30_lOM_bfond_hFR_Loenergeo__eco_25_30_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_30_lOM_bfond_lFR_LoWCSGeoTIFFeco_25_30_lOM_bfond_lFR_Loenergeo__eco_25_30_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_40_hOM_bfond_hFR_LoWCSGeoTIFFeco_25_40_hOM_bfond_hFR_Loenergeo__eco_25_40_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_40_hOM_bfond_lFR_LoWCSGeoTIFFeco_25_40_hOM_bfond_lFR_Loenergeo__eco_25_40_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_40_lOM_bfond_hFR_LoWCSGeoTIFFeco_25_40_lOM_bfond_hFR_Loenergeo__eco_25_40_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_40_lOM_bfond_lFR_LoWCSGeoTIFFeco_25_40_lOM_bfond_lFR_Loenergeo__eco_25_40_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_50_hOM_bfond_hFR_LoWCSGeoTIFFeco_25_50_hOM_bfond_hFR_Loenergeo__eco_25_50_hOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_50_hOM_bfond_lFR_LoWCSGeoTIFFeco_25_50_hOM_bfond_lFR_Loenergeo__eco_25_50_hOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_50_lOM_bfond_hFR_LoWCSGeoTIFFeco_25_50_lOM_bfond_hFR_Loenergeo__eco_25_50_lOM_bfond_hFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449eco_25_50_lOM_bfond_lFR_LoWCSGeoTIFFeco_25_50_lOM_bfond_lFR_Loenergeo__eco_25_50_lOM_bfond_lFR_LoRectifiedGridCoverage-25.043782837128 45.97613365170900625.043782837304 66.023866348449-25.043782837128 45.97613365170900625.043782837304 66.023866348449g100_06g100_06WCSGeoTIFFmapserv__g100_06RectifiedGridCoverage800000.0 700000.07500000.0 6500000.0-72.8055682856281 22.2151767444360590.38229972850304 81.72681680050277hc3map_monthly_avg_dniThe HC3Map Web Service provides maps of 5-years average of the monthly irradiation, i.e., the mean energy received during a whole month per square meter. Irradiation is expressed in kWh/m2. Period is 2004-2008. Two maps are provided: one for the global irradiation received on a horizontal plane (GHI), the other for the direct irradiation received on a plane always facing the sun (DNI). These maps are computed from irradiances of the HelioClim 3 database. Provider: Ecole des Mines de Paris / Armines (France).WCSGeoTIFFhc3map_monthly_avg_dnieuropa__hc3map_monthly_avg_dniRectifiedGridCoverage-16.75 35.819825726445.083099997400005 55.9302743-16.75 35.819825726445.083099997400005 55.9302743hc3map_monthly_avg_ghiThe HC3Map Web Service provides maps of 5-years average of the monthly irradiation, i.e., the mean energy received during a whole month per square meter. Irradiation is expressed in kWh/m2. Period is 2004-2008. Two maps are provided: one for the global irradiation received on a horizontal plane (GHI), the other for the direct irradiation received on a plane always facing the sun (DNI). These maps are computed from irradiances of the HelioClim 3 database. Provider: Ecole des Mines de Paris / Armines (France).WCSGeoTIFFhc3map_monthly_avg_ghieuropa__hc3map_monthly_avg_ghiRectifiedGridCoverage-17.3376429778 14.33821020459999645.67074297520001 77.4118898218-16.75 35.819825726445.083099997400005 55.9302743impact_00E_00R_tilt00deg_azim00degWCSGeoTIFFenergeo-aip3__impact_00E_00RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_00E_30energeo-aip3__impact_00E_30RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_00E_45energeo-aip3__impact_00E_45RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_00E_60energeo-aip3__impact_00E_60RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_00E_90energeo-aip3__impact_00E_90RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15E_30energeo-aip3__impact_15E_30RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15E_45energeo-aip3__impact_15E_45RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15E_60energeo-aip3__impact_15E_60RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15E_90energeo-aip3__impact_15E_90RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15W_30energeo-aip3__impact_15W_30RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15W_45energeo-aip3__impact_15W_45RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15W_60energeo-aip3__impact_15W_60RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_15W_90energeo-aip3__impact_15W_90RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_30E_30energeo-aip3__impact_30E_30RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_30E_45energeo-aip3__impact_30E_45RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_30E_60energeo-aip3__impact_30E_60RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 -60.060.0 60.0impact_30E_90energeo-aip3__impact_30E_90RectifiedGridCoverage-60.0 -60.060.0 60.0-60.0 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