Updated datasets 2026-03-22 UTC

Author: actions-user

aws_open_datasets.json

@@ -50,7 +50,7 @@
                 "interval": [
                     [
                         "2019-11-05T00:00:00Z",
-                        "2026-03-14T00:00:00Z"
+                        "2026-03-21T00:00:00Z"
                     ]
                 ]
             }
@@ -118,7 +118,7 @@
                 "interval": [
                     [
                         "1979-01-01T00:00:00Z",
-                        "2026-03-12T00:00:00Z"
+                        "2026-03-19T00:00:00Z"
                     ]
                 ]
             }
@@ -138,14 +138,14 @@
     {
         "type": "Collection",
         "stac_version": "1.1.0",
-        "id": "efas-historical",
-        "title": "River discharge and related historical data from the European Flood Awareness System",
-        "description": "This dataset provides gridded modelled sub-daily and daily hydrological time series forced with meteorological observations. The data set is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is up to 30 years modelled time series of:\n\nRiver discharge\nVolumetric soil moisture\nSnow water equivalent\nSoil wetness index (root zone)\nRunoff water equivalent (surface plus subsurface)\n\nAlso provided are auxiliary (time invariant) data to aid interpretation of river discharge and soil moisture data. These auxiliary data are the upstream area, elevation, soil depth, wilting capacity and field capacity. The latter three are provided at three soil levels, one for each of the three soil layers represented in LISFLOOD.\nThis dataset was produced by forcing the open-source LISFLOOD hydrological model with gridded observational data of precipitation and temperature at a 1x1 arcminute resolution (~1.5 km at EFAS latitudes) across the EFAS domain. Previous versions of the data have a 5x5km resolution. For the latest version data is available from 1992-01-01 up until near-real time, with a delay of 6 days. The real-time data is only available to EFAS partners.\nCompanion datasets, also available through the EWDS, are forecasts for users who are looking medium-range forecasts, reforecasts for research, local skill assessment and post-processing, and seasonal forecasts and reforecasts for users looking for long-term forecasts. For users looking for global hydrological data, we refer to the Global Flood Awareness System (GloFAS) forecasts and historical simulations.\nAll these datasets are part of the operational flood forecasting within the Copernicus Emergency Management Service (CEMS), which is managed, technically implemented and developed by the European Commission\u2019s Joint Research Centre.",
+        "id": "cems-fire-historical-v1",
+        "title": "Fire danger indices historical data from the Copernicus Emergency Management Service",
+        "description": "This data set provides complete historical reconstruction of meteorological conditions favourable to the start, spread and sustainability of fires. The fire danger metrics  provided are part of a vast dataset produced by the Copernicus Emergency Management Service for the\nEuropean Forest Fire Information System (EFFIS). The European Forest Fire Information System incorporates the fire danger indices for three different models developed in Canada, United States and Australia. In this dataset the fire danger indices are calculated using weather forecast from historical simulations provided by ECMWF ERA5 reanalysis.\nERA5 by combining  model data and  a vast set of quality controlled observations provides a  globally complete and consistent data-set and is regarded as a good proxy for observed atmospheric conditions.\nThe selected data records in this data set are regularly extended with time as ERA5 forcing data become available. \nThis dataset is produced by ECMWF in its role of the computational centre for fire danger forecast of the CEMS,  on behalf of the Joint Research Centre which is the managing entity of the service.",
         "links": [
             {
                 "rel": "self",
                 "type": "application/json",
-                "href": "https://ewds.climate.copernicus.eu/api/catalogue/v1/collections/efas-historical"
+                "href": "https://ewds.climate.copernicus.eu/api/catalogue/v1/collections/cems-fire-historical-v1"
             },
             {
                 "rel": "parent",
@@ -161,59 +161,59 @@
         "keywords": [
             "Product type: Reanalysis",
             "Temporal coverage: Past",
-            "Spatial coverage: Europe",
-            "Provider: Copernicus CEMS",
-            "Variable domain: Land (hydrology)"
+            "Spatial coverage: Global",
+            "Variable domain: Land (biosphere)",
+            "Provider: Copernicus CEMS"
         ],
-        "license": "other",
+        "license": "CC-BY-4.0",
         "providers": [
             {
-                "name": "ECMWF"
+                "name": "Copernicus Emergency Management Service"
             }
         ],
         "extent": {
             "spatial": {
                 "bbox": [
                     [
                         0,
-                        -70,
+                        -90,
                         360,
-                        70
+                        90
                     ]
                 ]
             },
             "temporal": {
                 "interval": [
                     [
-                        "1991-01-01T00:00:00Z",
-                        "2026-03-11T00:00:00Z"
+                        "1940-01-03T00:00:00Z",
+                        "2026-03-19T00:00:00Z"
                     ]
                 ]
             }
         },
         "summaries": "{}",
         "assets": {
             "thumbnail": {
-                "href": "https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/resources/efas-historical/overview_ddd9074d456be00a54d03c320485bdbb1d1871507eccaa1039404a9c2c62fe31.png",
+                "href": "https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/resources/cems-fire-historical-v1/overview_7d52aa9bfd619151f13dba1d6a0c625edcb157696f3fbf0db3c24f0993f45e77.png",
                 "type": "image/jpg",
                 "roles": [
                     "thumbnail"
                 ],
-                "thumborHref": "https://ewds.climate.copernicus.eu/thumbnails/lHpkSZaxXko-wA_Tt4GqwZhv-7U=/150x0/filters:format(webp)/object-store.os-api.cci2.ecmwf.int/cci2-prod-catalogue/resources/efas-historical/overview_ddd9074d456be00a54d03c320485bdbb1d1871507eccaa1039404a9c2c62fe31.png"
+                "thumborHref": "https://ewds.climate.copernicus.eu/thumbnails/ObVmZLmujWun1v8ODWaaRNfQEAo=/150x0/filters:format(webp)/object-store.os-api.cci2.ecmwf.int/cci2-prod-catalogue/resources/cems-fire-historical-v1/overview_7d52aa9bfd619151f13dba1d6a0c625edcb157696f3fbf0db3c24f0993f45e77.png"
             }
         }
     },
     {
         "type": "Collection",
         "stac_version": "1.1.0",
-        "id": "cems-fire-historical-v1",
-        "title": "Fire danger indices historical data from the Copernicus Emergency Management Service",
-        "description": "This data set provides complete historical reconstruction of meteorological conditions favourable to the start, spread and sustainability of fires. The fire danger metrics  provided are part of a vast dataset produced by the Copernicus Emergency Management Service for the\nEuropean Forest Fire Information System (EFFIS). The European Forest Fire Information System incorporates the fire danger indices for three different models developed in Canada, United States and Australia. In this dataset the fire danger indices are calculated using weather forecast from historical simulations provided by ECMWF ERA5 reanalysis.\nERA5 by combining  model data and  a vast set of quality controlled observations provides a  globally complete and consistent data-set and is regarded as a good proxy for observed atmospheric conditions.\nThe selected data records in this data set are regularly extended with time as ERA5 forcing data become available. \nThis dataset is produced by ECMWF in its role of the computational centre for fire danger forecast of the CEMS,  on behalf of the Joint Research Centre which is the managing entity of the service.",
+        "id": "efas-historical",
+        "title": "River discharge and related historical data from the European Flood Awareness System",
+        "description": "This dataset provides gridded modelled sub-daily and daily hydrological time series forced with meteorological observations. The data set is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is up to 30 years modelled time series of:\n\nRiver discharge\nVolumetric soil moisture\nSnow water equivalent\nSoil wetness index (root zone)\nRunoff water equivalent (surface plus subsurface)\n\nAlso provided are auxiliary (time invariant) data to aid interpretation of river discharge and soil moisture data. These auxiliary data are the upstream area, elevation, soil depth, wilting capacity and field capacity. The latter three are provided at three soil levels, one for each of the three soil layers represented in LISFLOOD.\nThis dataset was produced by forcing the open-source LISFLOOD hydrological model with gridded observational data of precipitation and temperature at a 1x1 arcminute resolution (~1.5 km at EFAS latitudes) across the EFAS domain. Previous versions of the data have a 5x5km resolution. For the latest version data is available from 1992-01-01 up until near-real time, with a delay of 6 days. The real-time data is only available to EFAS partners.\nCompanion datasets, also available through the EWDS, are forecasts for users who are looking medium-range forecasts, reforecasts for research, local skill assessment and post-processing, and seasonal forecasts and reforecasts for users looking for long-term forecasts. For users looking for global hydrological data, we refer to the Global Flood Awareness System (GloFAS) forecasts and historical simulations.\nAll these datasets are part of the operational flood forecasting within the Copernicus Emergency Management Service (CEMS), which is managed, technically implemented and developed by the European Commission\u2019s Joint Research Centre.",
         "links": [
             {
                 "rel": "self",
                 "type": "application/json",
-                "href": "https://ewds.climate.copernicus.eu/api/catalogue/v1/collections/cems-fire-historical-v1"
+                "href": "https://ewds.climate.copernicus.eu/api/catalogue/v1/collections/efas-historical"
             },
             {
                 "rel": "parent",
@@ -229,45 +229,45 @@
         "keywords": [
             "Product type: Reanalysis",
             "Temporal coverage: Past",
-            "Spatial coverage: Global",
-            "Variable domain: Land (biosphere)",
-            "Provider: Copernicus CEMS"
+            "Spatial coverage: Europe",
+            "Provider: Copernicus CEMS",
+            "Variable domain: Land (hydrology)"
         ],
-        "license": "CC-BY-4.0",
+        "license": "other",
         "providers": [
             {
-                "name": "Copernicus Emergency Management Service"
+                "name": "ECMWF"
             }
         ],
         "extent": {
             "spatial": {
                 "bbox": [
                     [
                         0,
-                        -90,
+                        -70,
                         360,
-                        90
+                        70
                     ]
                 ]
             },
             "temporal": {
                 "interval": [
                     [
-                        "1940-01-03T00:00:00Z",
-                        "2026-03-11T00:00:00Z"
+                        "1991-01-01T00:00:00Z",
+                        "2026-03-18T00:00:00Z"
                     ]
                 ]
             }
         },
         "summaries": "{}",
         "assets": {
             "thumbnail": {
-                "href": "https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/resources/cems-fire-historical-v1/overview_7d52aa9bfd619151f13dba1d6a0c625edcb157696f3fbf0db3c24f0993f45e77.png",
+                "href": "https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/resources/efas-historical/overview_ddd9074d456be00a54d03c320485bdbb1d1871507eccaa1039404a9c2c62fe31.png",
                 "type": "image/jpg",
                 "roles": [
                     "thumbnail"
                 ],
-                "thumborHref": "https://ewds.climate.copernicus.eu/thumbnails/ObVmZLmujWun1v8ODWaaRNfQEAo=/150x0/filters:format(webp)/object-store.os-api.cci2.ecmwf.int/cci2-prod-catalogue/resources/cems-fire-historical-v1/overview_7d52aa9bfd619151f13dba1d6a0c625edcb157696f3fbf0db3c24f0993f45e77.png"
+                "thumborHref": "https://ewds.climate.copernicus.eu/thumbnails/lHpkSZaxXko-wA_Tt4GqwZhv-7U=/150x0/filters:format(webp)/object-store.os-api.cci2.ecmwf.int/cci2-prod-catalogue/resources/efas-historical/overview_ddd9074d456be00a54d03c320485bdbb1d1871507eccaa1039404a9c2c62fe31.png"
             }
         }
     },
@@ -322,7 +322,7 @@
                 "interval": [
                     [
                         "2018-10-11T00:00:00Z",
-                        "2026-02-09T00:00:00Z"
+                        "2026-02-16T00:00:00Z"
                     ]
                 ]
             }