Datasets
The leaf area index determines the degree of evapotranspiration. The index varies in a climatological way in the model, month by month (and so will not change in a different way if there is anomalous weather)...
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Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023
Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023
Lower values mean that more radiation is absorbed at the earth's surface while higher values mean more is reflected back to space. Albedo depends on the characteristics of the underlying surface and...
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These daily and monthly data are pre-calculated and have the following types depending on the variables: daily and monthly averages, extremes and totals.
Interval/period: Sat, 09/01/1990 - Sat, 02/28/2026
This dataset provides daily air quality analyses and forecasts for Europe.
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This dataset provides annual air quality reanalyses for Europe based on both unvalidated (interim) and validated observations.
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CAMS produces global forecasts for atmospheric composition twice a day. The forecasts consist of more than 50 chemical species (e.g. ozone, nitrogen dioxide, carbon monoxide) and seven different types of aerosol (desert dust, sea salt, organic matter, black carbon, sulphate, nitrate and ammonium aerosol). In addition, several meteorological variables are available as well.
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Emissions of atmospheric pollutants from biomass burning and vegetation fires are key drivers of the evolution of atmospheric composition, with a high degree of spatial and temporal variability, and an accurate representation of them in models is essential.
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This data set contains gridded distributions of global anthropogenic and natural emissions.
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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...
- carbon dioxide
- methane
- tropospheric ozone
- stratospheric ozone
- interactions between anthropogenic aerosols and radiation
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EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.
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EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.
Interval/period: N/A
Interval/period: Wed, 01/01/1975 - Sat, 05/09/2026
Interval/period: Sat, 01/01/2000 - Sun, 12/31/2000
Interval/period: Wed, 01/01/2003 - Sat, 12/31/2022
Interval/period: Wed, 01/01/1992 - Sat, 05/09/2026
Interval/period: Sun, 10/01/2017 - Sat, 05/09/2026
The height of topography above mean sea level and the depth of the sea for each model grid box ...
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Interval/period: Tue, 01/02/1979 - Sat, 05/09/2026
Soil moisture handling in the model is complex, and could be highlighted in many ways. Here a 'relativistic' approach is used for display, showing not absolute values, but instead...
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