Displaying 1 - 9 of 9

CAMS global biomass burning emissions based on fire radiative power (GFAS)

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.

calendar_today Interval/period: Wed, 01/01/2003 - Wed, 12/03/2025

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CAMS global biomass burning emissions based on fire radiative power (GFAS)

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.

calendar_today Interval/period: N/A

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CAMS global emission inventories

This data set contains gridded distributions of global anthropogenic and natural emissions.

calendar_today Interval/period: Sat, 01/01/2000 - Thu, 12/31/2020

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CAMS global emission inventories

This data set contains gridded distributions of global anthropogenic and natural emissions.

calendar_today Interval/period: N/A

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CAMS global inversion-optimised greenhouse gas fluxes and concentrations

This data set contains net fluxes at the surface, atmospheric mixing ratios at model levels, and column-mean atmospheric mixing ratios for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20).

calendar_today Interval/period: Mon, 01/01/1979 - Tue, 12/31/2024

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CAMS global inversion-optimised greenhouse gas fluxes and concentrations

This data set contains net fluxes at the surface, atmospheric mixing ratios at model levels, and column-mean atmospheric mixing ratios for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20).

calendar_today Interval/period: N/A

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CERRA sub-daily regional reanalysis data for Europe on height levels from 1984 to present

The Copernicus European Regional ReAnalysis (CERRA) datasets provide spatially and temporally consistent historical reconstructions of meteorological variables in the atmosphere and at the surface. There are four subsets: single levels (atmospheric and surface quantities), height levels (upper-air fields up to 500m), pressure levels (upper-air fields up to 1hPa) and model levels (native levels of the model). This entry provides reanalysis and forecast data on height levels for Europe from 1984 to present.

calendar_today Interval/period: Sat, 09/01/1984 - Sat, 01/31/2026

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CERRA sub-daily regional reanalysis data for Europe on model levels from 1984 to present

The Copernicus European Regional ReAnalysis (CERRA) datasets provide spatially and temporally consistent historical reconstructions of meteorological variables in the atmosphere and at the surface. There are four subsets: single levels (atmospheric and surface quantities), height levels (upper-air fields up to 500m), pressure levels (upper-air fields up to 1hPa) and model levels (native levels of the model). This entry provides reanalysis data on model levels for Europe from 1984 to present.

calendar_today Interval/period: Sat, 09/01/1984 - Sat, 01/31/2026

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CERRA sub-daily regional reanalysis data for Europe on pressure levels from 1984 to present

The Copernicus European Regional ReAnalysis (CERRA) datasets provide spatially and temporally consistent historical reconstruction of meteorological variables in the atmosphere and at the surface. There are four subsets: single levels (atmospheric and surface quantities), height levels (upper-air fields up to 500m), pressure levels (upper-air fields up to 1hPa) and model levels (native levels of the model). This entry provides reanalysis and forecast data on pressure levels for Europe from 1984 to present.

calendar_today Interval/period: Sat, 09/01/1984 - Sat, 01/31/2026

open_in_newview in Climate Data Store