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Spatially varying sensitivity parameters for orography (β_oro) and distance from the coastline (β_coast) are estimated from a ~180 km rolling-window ordinary least-squares regression applied to the coarse ERA5 field, and are used to correct for sub-grid elevation and coastal gradients not resolved at the coarse scale.\n \n## Future (CMIP6 projections)\nFor each CMIP6 model/member, the full projection timeseries is fetched and bias-corrected against ERA5 using empirical quantile delta mapping: this is done for each future timestep according its percentile within a sliding-window cumulative distribution function of the future biased timeseries (30-year window, 5-year step), and the correction is applied according to this percentile rank. Therefore, the bias for each percentile rank is calculated from difference between model historical quantiles and the ERA5 quantiles (after upscaling to the model grid) over the same reference period (1981–2010). The bias correction procedure is done separately for each month of the year using 3-month pooling windows to stabilise tail estimation. The corrected timeseries are then temporally aggregated and a climatology is computed over the same 30-year sliding window. Results are warped to a common 1° grid before ensemble statistics (P10, P25, median, P75, P90) are computed across all model members. The final projected climatologies are produced by a delta-mapping approach that combines the coarse-scale ensemble signal with the downscaled ERA5 field.","stac_version":"1.1.0","links":[{"rel":"aggregate","type":"application/json","href":"https://stac.terrascope.be/collections/climtag-precipitation-annual/aggregate"},{"rel":"aggregations","type":"application/json","href":"https://stac.terrascope.be/collections/climtag-precipitation-annual/aggregations"},{"rel":"items","type":"application/geo+json","href":"https://stac.terrascope.be/collections/climtag-precipitation-annual/items"},{"rel":"parent","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"queryables","type":"application/schema+json","href":"https://stac.terrascope.be/collections/climtag-precipitation-annual/queryables"},{"rel":"root","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"self","type":"application/json","href":"https://stac.terrascope.be/collections/climtag-precipitation-annual"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"title":"CLIMTAG Precipitation Annual Indicator","type":"Collection","license":"other","extent":{"spatial":{"bbox":[[-9.5,36.65,18.52,55.06],[2.54,49.5,6.41,51.5],[-5.14,41.33,9.56,51.09],[5.87,47.27,15.04,55.06],[6.63,36.65,18.52,47.09],[-9.5,36.96,-6.19,42.15]]},"temporal":{"interval":[["1981-01-01T00:00:00Z",null]]}},"keywords":["climtag","climate","agriculture","precipitation","annual"],"providers":[{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"summaries":{"bands":[{"name":"median"},{"name":"p10"},{"name":"p25"},{"name":"p75"},{"name":"p90"}],"scenario":["ssp126","ssp245","ssp585"],"region:name":["BELGIUM","FRANCE","GERMANY","ITALY","PORTUGAL"],"region:country":["BE","FR","DE","IT","PT"],"datetime":["1996-01-01T00:00:00Z","2006-01-01T00:00:00Z","2016-01-01T00:00:00Z","2026-01-01T00:00:00Z","2036-01-01T00:00:00Z","2046-01-01T00:00:00Z","2056-01-01T00:00:00Z","2066-01-01T00:00:00Z","2076-01-01T00:00:00Z","2086-01-01T00:00:00Z"]},"item_assets":{"median":{"data_type":"float32","nodata":"nan","bands":[{"name":"median"}],"unit":"mm","raster:scale":1.0,"raster:offset":0.0,"title":"median","type":"image/tiff; application=geotiff","roles":["data"]},"p10":{"data_type":"float32","nodata":"nan","bands":[{"name":"p10"}],"unit":"mm","raster:scale":1.0,"raster:offset":0.0,"title":"p10","type":"image/tiff; application=geotiff","roles":["data"]},"p25":{"data_type":"float32","nodata":"nan","bands":[{"name":"p25"}],"unit":"mm","raster:scale":1.0,"raster:offset":0.0,"title":"p25","type":"image/tiff; application=geotiff","roles":["data"]},"p75":{"data_type":"float32","nodata":"nan","bands":[{"name":"p75"}],"unit":"mm","raster:scale":1.0,"raster:offset":0.0,"title":"p75","type":"image/tiff; application=geotiff","roles":["data"]},"p90":{"data_type":"float32","nodata":"nan","bands":[{"name":"p90"}],"unit":"mm","raster:scale":1.0,"raster:offset":0.0,"title":"p90","type":"image/tiff; application=geotiff","roles":["data"]}},"auth:schemes":{"oidc":{"type":"openIdConnect","description":"Authenticate with Terrascope OpenID Connect","openIdConnectUrl":"https://sso.terrascope.be/auth/realms/terrascope/.well-known/openid-configuration"}},"assets":{}},{"id":"climtag-precipitation-dekadal","description":"The *CLIMTAG Precipitation* indicator represents the precipitation derived from ERA5 reanalysis (past) and CMIP6 climate projections (future) under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios.\nDekadal map (DEKADAL_MAP): 10-day precipitation sum (mm/dekad) at at reference years 1996–2086 (every 10 years), ensemble median only.\n \n## Past (ERA5 reference)\nDaily precipitation totals are fetched from the ERA5 reanalysis (CDS) for the reference temporal extent (1981–2010) window covers the historical anchor). The daily timeseries is temporally aggregated to annual or dekadal sums. A climatology is then computed using a sliding window centred on each reference year. The ERA5 historical reference climatology is downscaled to ~30 arc-second resolution using the GMTED2010 orography dataset. Spatially varying sensitivity parameters for orography (β_oro) and distance from the coastline (β_coast) are estimated from a ~180 km rolling-window ordinary least-squares regression applied to the coarse ERA5 field, and are used to correct for sub-grid elevation and coastal gradients not resolved at the coarse scale.\n \n## Future (CMIP6 projections)\nFor each CMIP6 model/member, the full projection timeseries is fetched and bias-corrected against ERA5 using empirical quantile delta mapping: this is done for each future timestep according its percentile within a sliding-window cumulative distribution function of the future biased timeseries (30-year window, 5-year step), and the correction is applied according to this percentile rank. Therefore, the bias for each percentile rank is calculated from difference between model historical quantiles and the ERA5 quantiles (after upscaling to the model grid) over the same reference period (1981–2010). The bias correction procedure is done separately for each month of the year using 3-month pooling windows to stabilise tail estimation. The corrected timeseries are then temporally aggregated and a climatology is computed over the same 30-year sliding window. Results are warped to a common 1° grid before ensemble statistics (P10, P25, median, P75, P90) are computed across all model members. The final projected climatologies are produced by a delta-mapping approach that combines the coarse-scale ensemble signal with the downscaled ERA5 field.","stac_version":"1.1.0","links":[{"rel":"aggregate","type":"application/json","href":"https://stac.terrascope.be/collections/climtag-precipitation-dekadal/aggregate"},{"rel":"aggregations","type":"application/json","href":"https://stac.terrascope.be/collections/climtag-precipitation-dekadal/aggregations"},{"rel":"items","type":"application/geo+json","href":"https://stac.terrascope.be/collections/climtag-precipitation-dekadal/items"},{"rel":"parent","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"queryables","type":"application/schema+json","href":"https://stac.terrascope.be/collections/climtag-precipitation-dekadal/queryables"},{"rel":"root","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"self","type":"application/json","href":"https://stac.terrascope.be/collections/climtag-precipitation-dekadal"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"title":"CLIMTAG Precipitation Dekadal Indicator","type":"Collection","license":"other","extent":{"spatial":{"bbox":[[-9.5,36.65,18.52,55.06],[2.54,49.5,6.41,51.5],[-5.14,41.33,9.56,51.09],[5.87,47.27,15.04,55.06],[6.63,36.65,18.52,47.09],[-9.5,36.96,-6.19,42.15]]},"temporal":{"interval":[["1981-01-01T00:00:00Z",null]]}},"keywords":["climtag","climate","agriculture","precipitation","dekadal"],"providers":[{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"summaries":{"bands":[{"name":"median"}],"scenario":["ssp126","ssp245","ssp585"],"region:name":["BELGIUM","FRANCE","GERMANY","ITALY","PORTUGAL"],"region:country":["BE","FR","DE","IT","PT"],"datetime":["1996-01-01T00:00:00Z","2006-01-01T00:00:00Z","2016-01-01T00:00:00Z","2026-01-01T00:00:00Z","2036-01-01T00:00:00Z","2046-01-01T00:00:00Z","2056-01-01T00:00:00Z","2066-01-01T00:00:00Z","2076-01-01T00:00:00Z","2086-01-01T00:00:00Z"]},"item_assets":{"median":{"data_type":"float32","nodata":"nan","bands":[{"name":"median"}],"unit":"mm","raster:scale":1.0,"raster:offset":0.0,"title":"median","type":"image/tiff; application=geotiff","roles":["data"]}},"auth:schemes":{"oidc":{"type":"openIdConnect","description":"Authenticate with Terrascope OpenID Connect","openIdConnectUrl":"https://sso.terrascope.be/auth/realms/terrascope/.well-known/openid-configuration"}},"assets":{}},{"id":"cop-dem-glo-30m-cog","description":"The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. GLO-30 provides worldwide coverage at 30 meters (refers to 10 arc seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters. The Copernicus DEM GLO-30 is distributed by OpenTopography and corresponds to the DGED 2023_1 release of the Copernicus DEM.","stac_version":"1.1.0","links":[{"rel":"aggregate","type":"application/json","href":"https://stac.terrascope.be/collections/cop-dem-glo-30m-cog/aggregate"},{"rel":"aggregations","type":"application/json","href":"https://stac.terrascope.be/collections/cop-dem-glo-30m-cog/aggregations"},{"rel":"items","type":"application/geo+json","href":"https://stac.terrascope.be/collections/cop-dem-glo-30m-cog/items"},{"rel":"parent","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"queryables","type":"application/schema+json","href":"https://stac.terrascope.be/collections/cop-dem-glo-30m-cog/queryables"},{"rel":"root","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"self","type":"application/json","href":"https://stac.terrascope.be/collections/cop-dem-glo-30m-cog"},{"href":"https://dataspace.copernicus.eu/sites/default/files/media/files/2025-01/cscda_esa_user_licence_10.01.2025.pdf","rel":"license","title":"ESA user license"},{"href":"https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/collections-description/COP-DEM","rel":"docs","type":"text/html","title":"User documentation"}],"stac_extensions":["https://stac-extensions.github.io/processing/v1.2.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"title":"Copernicus Global 30 meter Digital Elevation Model dataset in COG format","type":"Collection","assets":{"thumbnail":{"href":"https://services.terrascope.be/collectioncatalogue/images/quicklooks/COP_DEM_GLO_30M_COG_QL.png","type":"image/jpeg","title":"cop-dem-glo-30m-cog","roles":["thumbnail"]}},"license":"other","extent":{"spatial":{"bbox":[[-180.0,-90.0,180.0,90.0]]},"temporal":{"interval":[["2010-12-12T00:00:00Z","2012-11-20T00:00:00Z"]]}},"keywords":["vito","terrascope","copernicus","esa","radar","dem","dsm","elevation","tandem-x","terrasar-x","tdx","tsx"],"providers":[{"name":"ESA","roles":["licensor"],"url":"https://earth.esa.int/"},{"name":"DLR","roles":["processor","producer"],"url":"https://www.dlr.de/"},{"name":"Airbus Defence and Space","roles":["processor","producer"],"url":"https://www.airbus.com/"},{"name":"OpenTopography","roles":["host"],"url":"https://opentopography.org/"},{"name":"VITO","roles":["host"],"url":"https://terrascope.be/"}],"summaries":{"constellation":["tandem-x","terrasar-x"],"platform":["tandem-x","terrasar-x"],"instruments":["tsx-1","tdx-1"],"gsd":[30],"bands":[{"name":"DEM","data_type":"float32","raster:scale":1,"raster:offset":0,"unit":"m","raster:sampling":"point"}],"processing:version":["2023_1"]},"version":"1","item_assets":{"DEM":{"auth:refs":["oidc"],"bands":[{"name":"DEM"}],"data_type":"float32","raster:scale":1,"raster:offset":0,"unit":"m","raster:sampling":"point","title":"DEM","description":"The Digital Elevation Model (DEM) of the product.","type":"image/tiff; application=geotiff; profile=cloud-optimized","roles":["data"]}},"auth:schemes":{"oidc":{"type":"openIdConnect","description":"Authenticate with Terrascope OpenID Connect","openIdConnectUrl":"https://sso.terrascope.be/auth/realms/terrascope/.well-known/openid-configuration"}}},{"id":"cop-dem-glo-90m-cog","description":"The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. GLO-90 provides worldwide coverage at 90 meters (refers to 30 arc seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters. The Copernicus DEM GLO-90 is distributed by OpenTopography and corresponds to the DGED 2023_1 release of the Copernicus DEM.","stac_version":"1.1.0","links":[{"rel":"aggregate","type":"application/json","href":"https://stac.terrascope.be/collections/cop-dem-glo-90m-cog/aggregate"},{"rel":"aggregations","type":"application/json","href":"https://stac.terrascope.be/collections/cop-dem-glo-90m-cog/aggregations"},{"rel":"items","type":"application/geo+json","href":"https://stac.terrascope.be/collections/cop-dem-glo-90m-cog/items"},{"rel":"parent","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"queryables","type":"application/schema+json","href":"https://stac.terrascope.be/collections/cop-dem-glo-90m-cog/queryables"},{"rel":"root","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"self","type":"application/json","href":"https://stac.terrascope.be/collections/cop-dem-glo-90m-cog"},{"href":"https://dataspace.copernicus.eu/sites/default/files/media/files/2025-01/cscda_esa_user_licence_10.01.2025.pdf","rel":"license","title":"ESA user license"},{"href":"https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/collections-description/COP-DEM","rel":"docs","type":"text/html","title":"User documentation"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/datacube/v2.2.0/schema.json","https://stac-extensions.github.io/processing/v1.2.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"title":"Copernicus Global 90 meter Digital Elevation Model dataset in COG format","type":"Collection","assets":{"thumbnail":{"href":"https://services.terrascope.be/collectioncatalogue/images/quicklooks/COP_DEM_GLO_90M_COG_QL.png","type":"image/jpeg","title":"cop-dem-glo-90m-cog","roles":["thumbnail"]}},"license":"other","extent":{"spatial":{"bbox":[[-180.0,-90.0,180.0,90.0]]},"temporal":{"interval":[["2010-12-12T00:00:00Z","2012-11-20T00:00:00Z"]]}},"keywords":["vito","terrascope","copernicus","esa","radar","dem","dsm","elevation","tandem-x","terrasar-x","tdx","tsx"],"providers":[{"name":"ESA","roles":["licensor"],"url":"https://earth.esa.int/"},{"name":"DLR","roles":["processor","producer"],"url":"https://www.dlr.de/"},{"name":"Airbus Defence and Space","roles":["processor","producer"],"url":"https://www.airbus.com/"},{"name":"OpenTopography","roles":["host"],"url":"https://opentopography.org/"},{"name":"VITO","roles":["host"],"url":"https://terrascope.be/"}],"summaries":{"constellation":["tandem-x","terrasar-x"],"platform":["tandem-x","terrasar-x"],"instruments":["tsx-1","tdx-1"],"gsd":[90],"bands":[{"name":"DEM","data_type":"float32","raster:scale":1,"raster:offset":0,"unit":"m","raster:sampling":"point"}],"processing:version":["2023_1"]},"renders":{"dem":{"title":"DEM","assets":["DEM"],"asset_as_band":true,"colormap_name":"dem","expression":"floor(b1)","tilematrixsets":{"EPSG:3857":[8,14]}}},"cube:dimensions":{"time":{"type":"temporal","extent":["2012-11-20T00:00:00Z","2012-11-20T00:00:00Z"],"values":["2012-11-20T00:00:00Z"]}},"version":"1","item_assets":{"DEM":{"auth:refs":["oidc"],"bands":[{"name":"DEM"}],"data_type":"float32","raster:scale":1,"raster:offset":0,"unit":"m","raster:sampling":"point","title":"DEM","description":"The Digital Elevation Model (DEM) of the product.","type":"image/tiff; 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Note that similarly to LAI and FAPAR, only the green elements will be considered, either belonging both to the overstorey and understorey.","stac_version":"1.1.0","links":[{"rel":"aggregate","type":"application/json","href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/aggregate"},{"rel":"aggregations","type":"application/json","href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/aggregations"},{"rel":"items","type":"application/geo+json","href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/items"},{"rel":"parent","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"queryables","type":"application/schema+json","href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/queryables"},{"rel":"root","type":"application/json","href":"https://stac.terrascope.be/"},{"rel":"self","type":"application/json","href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2"},{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://docs.terrascope.be/#/DataProducts/Sentinel-2/Biopar/Biopar","rel":"docs","type":"text/html","title":"User documentation"},{"href":"https://docs.terrascope.be/DataProducts/collections/INSPIRE/SENTINEL-2/TERRASCOPE_S2_FCOVER_V2.xml","rel":"describedby","type":"application/vnd.iso.19139+xml","title":"INSPIRE XML"},{"href":"https://doi.org/10.71570/qcms-0348","rel":"cite-as"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"title":"Sentinel-2 Fraction of Vegetation Cover (FCOVER) (tiles) - V2","type":"Collection","assets":{"thumbnail":{"href":"https://docs.terrascope.be/DataProducts/collections/QUICKLOOKS/SENTINEL2_FCOVER_V2_QL.JPG","type":"image/jpeg","title":"terrascope-s2-fcover-v2","roles":["thumbnail"]}},"license":"other","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","plant resource","fcover"],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"summaries":{"bands":[{"name":"FCOVER","data_type":"uint8","raster:scale":0.005,"raster:offset":0.0,"raster:sampling":"area","nodata":255,"unit":"-"},{"name":"SCL","data_type":"uint8","raster:scale":1.0,"raster:offset":0.0,"raster:sampling":"area"}],"constellation":["sentinel-2"],"instruments":["msi"],"gsd":[10,20],"platform":["sentinel-2a","sentinel-2b","sentinel-2c"],"product:type":["FCOVER"],"sat:orbit_state":["ascending","descending"],"sat:relative_orbit":{"minimum":1,"maximum":143}},"renders":{"fcover":{"assets":["FCOVER"],"colormap_name":"fcover","title":"FCOVER","tilematrixsets":{"EPSG:3857":[8,14]},"aggregation":{"name":"datetime_frequency","params":{"datetime_frequency_interval":"day"}}}},"sci:doi":"10.71570/qcms-0348","sci:citation":"VITO. 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