Updated datasets 2026-03-29 UTC

Author: actions-user

copernicus_atmosphere.json

@@ -51,7 +51,7 @@
                 "interval": [
                     [
                         "2024-03-01T00:00:00Z",
-                        "2026-03-21T00:00:00Z"
+                        "2026-03-28T00:00:00Z"
                     ]
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@@ -331,7 +331,7 @@
                 "interval": [
                     [
                         "2024-01-17T00:00:00Z",
-                        "2026-03-21T00:00:00Z"
+                        "2026-03-28T00:00:00Z"
                     ]
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@@ -683,7 +683,7 @@
                 "interval": [
                     [
                         "2015-01-01T00:00:00Z",
-                        "2026-03-21T00:00:00Z"
+                        "2026-03-28T00:00:00Z"
                     ]
                 ]
             }
@@ -703,14 +703,14 @@
     {
         "type": "Collection",
         "stac_version": "1.1.0",
-        "id": "cams-global-radiative-forcing-auxilliary-variables",
-        "title": "CAMS global radiative forcing - auxilliary variables",
-        "description": "This dataset provides aerosol optical depths and aerosol-radiation radiative effects for four different aerosol origins: anthropogenic, mineral dust, marine, and land-based fine-mode natural aerosol. The latter mostly consists of biogenic aerosols. \nThe data are a necessary complement to the \"CAMS global radiative forcings\" dataset (see \"Related Data\"). The calculation of aerosol radiative forcing requires a discrimination between aerosol of anthropogenic and natural origin. However, the CAMS reanalysis, which is used to provide the aerosol concentrations, does not make this distinction. The anthropogenic fraction was therefore derived by a method which uses aerosol size as a proxy for aerosol origin.",
+        "id": "cams-global-radiative-forcings",
+        "title": "CAMS global radiative forcings",
+        "description": "This dataset provides geographical distributions of the radiative forcing (RF) by key atmospheric constituents. The radiative forcing estimates are based on the CAMS reanalysis and additional model simulations and are provided separately for...\n\ncarbon dioxide \nmethane \ntropospheric ozone \nstratospheric ozone\ninteractions between anthropogenic aerosols and radiation\ninteractions between anthropogenic aerosols and clouds\n\nRadiative forcing measures the imbalance in the Earth\u2019s energy budget caused by a perturbation of the climate system, such as changes in atmospheric composition caused by human activities. RF is a useful predictor of globally-averaged temperature change, especially when rapid adjustments of atmospheric temperature and moisture profiles are taken into account. RF has therefore become a quantitative metric to compare the potential climate response to different perturbations. Increases in greenhouse gas concentrations over the industrial era exerted a positive RF, causing a gain of energy in the climate system. In contrast, concurrent changes in atmospheric aerosol concentrations are thought to exert a negative RF leading to a loss of energy. \nProducts are quantified both in \u201call-sky\u201d conditions, meaning that the radiative effects of clouds are included in the radiative transfer calculations, and in \u201cclear-sky\u201d conditions, which are computed by excluding clouds in the radiative transfer calculations.\nThe upgrade from version 1.5 to 2 consists of an extension of the period by 2017-2018, the addition of an \"effective radiative forcing\" product and new ways to calculate the pre-industrial reference state for aerosols and cloud condensation nuclei. More details are given in the documentation section. New versions may be released in future as scientific methods develop, and existing versions may be extended with later years if data for the period is available from the CAMS reanalysis. Newer versions supercede old versions so it is always recommended to use the latest one.\nCAMS also produces distributions of aerosol optical depths, distinguishing natural from anthropogenic aerosols, which are a separate dataset. See \"Related Data\".",
         "links": [
             {
                 "rel": "self",
                 "type": "application/json",
-                "href": "https://ads.atmosphere.copernicus.eu/api/catalogue/v1/collections/cams-global-radiative-forcing-auxilliary-variables"
+                "href": "https://ads.atmosphere.copernicus.eu/api/catalogue/v1/collections/cams-global-radiative-forcings"
             },
             {
                 "rel": "parent",
@@ -724,11 +724,14 @@
             }
         ],
         "keywords": [
+            "Product type: Reanalysis",
             "Temporal coverage: Past",
+            "Variable domain: Atmosphere (composition)",
+            "Parameter family: Aerosol",
+            "Parameter family: Reactive gas",
             "Spatial coverage: Global",
+            "Parameter family: Greenhouse gas",
             "Parameter family: Radiation",
-            "Spatial coverage: Satellite image area",
-            "Product type: Analysis",
             "Variable domain: Solar radiation"
         ],
         "license": "CC-BY-4.0",
@@ -760,26 +763,26 @@
         "summaries": "{}",
         "assets": {
             "thumbnail": {
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     {
         "type": "Collection",
         "stac_version": "1.1.0",
-        "id": "cams-global-radiative-forcings",
-        "title": "CAMS global radiative forcings",
-        "description": "This dataset provides geographical distributions of the radiative forcing (RF) by key atmospheric constituents. The radiative forcing estimates are based on the CAMS reanalysis and additional model simulations and are provided separately for...\n\ncarbon dioxide \nmethane \ntropospheric ozone \nstratospheric ozone\ninteractions between anthropogenic aerosols and radiation\ninteractions between anthropogenic aerosols and clouds\n\nRadiative forcing measures the imbalance in the Earth\u2019s energy budget caused by a perturbation of the climate system, such as changes in atmospheric composition caused by human activities. RF is a useful predictor of globally-averaged temperature change, especially when rapid adjustments of atmospheric temperature and moisture profiles are taken into account. RF has therefore become a quantitative metric to compare the potential climate response to different perturbations. Increases in greenhouse gas concentrations over the industrial era exerted a positive RF, causing a gain of energy in the climate system. In contrast, concurrent changes in atmospheric aerosol concentrations are thought to exert a negative RF leading to a loss of energy. \nProducts are quantified both in \u201call-sky\u201d conditions, meaning that the radiative effects of clouds are included in the radiative transfer calculations, and in \u201cclear-sky\u201d conditions, which are computed by excluding clouds in the radiative transfer calculations.\nThe upgrade from version 1.5 to 2 consists of an extension of the period by 2017-2018, the addition of an \"effective radiative forcing\" product and new ways to calculate the pre-industrial reference state for aerosols and cloud condensation nuclei. More details are given in the documentation section. New versions may be released in future as scientific methods develop, and existing versions may be extended with later years if data for the period is available from the CAMS reanalysis. Newer versions supercede old versions so it is always recommended to use the latest one.\nCAMS also produces distributions of aerosol optical depths, distinguishing natural from anthropogenic aerosols, which are a separate dataset. See \"Related Data\".",
+        "id": "cams-global-radiative-forcing-auxilliary-variables",
+        "title": "CAMS global radiative forcing - auxilliary variables",
+        "description": "This dataset provides aerosol optical depths and aerosol-radiation radiative effects for four different aerosol origins: anthropogenic, mineral dust, marine, and land-based fine-mode natural aerosol. The latter mostly consists of biogenic aerosols. \nThe data are a necessary complement to the \"CAMS global radiative forcings\" dataset (see \"Related Data\"). The calculation of aerosol radiative forcing requires a discrimination between aerosol of anthropogenic and natural origin. However, the CAMS reanalysis, which is used to provide the aerosol concentrations, does not make this distinction. The anthropogenic fraction was therefore derived by a method which uses aerosol size as a proxy for aerosol origin.",
         "links": [
             {
                 "rel": "self",
                 "type": "application/json",
-                "href": "https://ads.atmosphere.copernicus.eu/api/catalogue/v1/collections/cams-global-radiative-forcings"
+                "href": "https://ads.atmosphere.copernicus.eu/api/catalogue/v1/collections/cams-global-radiative-forcing-auxilliary-variables"
             },
             {
                 "rel": "parent",
@@ -793,14 +796,11 @@
             }
         ],
         "keywords": [
-            "Product type: Reanalysis",
             "Temporal coverage: Past",
-            "Variable domain: Atmosphere (composition)",
-            "Parameter family: Aerosol",
-            "Parameter family: Reactive gas",
             "Spatial coverage: Global",
-            "Parameter family: Greenhouse gas",
             "Parameter family: Radiation",
+            "Spatial coverage: Satellite image area",
+            "Product type: Analysis",
             "Variable domain: Solar radiation"
         ],
         "license": "CC-BY-4.0",
@@ -832,12 +832,12 @@
         "summaries": "{}",
         "assets": {
             "thumbnail": {
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     },
@@ -1032,7 +1032,7 @@
                 "interval": [
                     [
                         "2004-01-01T00:00:00Z",
-                        "2026-03-21T00:00:00Z"
+                        "2026-03-28T00:00:00Z"
                     ]
                 ]
             }
@@ -1103,8 +1103,8 @@
             "temporal": {
                 "interval": [
                     [
-                        "2023-03-16T00:00:00Z",
-                        "2026-03-21T00:00:00Z"
+                        "2023-03-23T00:00:00Z",
+                        "2026-03-29T00:00:00Z"
                     ]
                 ]
             }