Datasets
Interval/period: Wed, 01/01/1992 - Sat, 01/01/2022
Interval/period: Thu, 06/01/1995 - Tue, 12/31/2024
Interval/period: Tue, 09/01/1981 - Sun, 12/01/2024
Interval/period: Mon, 01/01/2001 - Fri, 04/01/2022
Interval/period: N/A
Interval/period: Wed, 01/03/1940 - Tue, 05/05/2026
Fire radiative power and active fire pixels from 2020 to present derived from satellite observations
Interval/period: Wed, 01/01/2020 - Fri, 02/28/2025
Interval/period: Mon, 01/01/1951 - Sat, 05/09/2026
Interval/period: Mon, 01/01/1979 - Thu, 04/30/2026
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 is part of the ECMWF Atmospheric Composition Reanalysis focusing on long-lived greenhouse gases: carbon dioxide (CO2) and methane (CH4). The emissions and natural fluxes at the surface are crucial for the evolution of the long-lived greenhouse gases in the atmosphere. In this dataset the CO2 fluxes from terrestrial vegetation are modelled in order to simulate the variability across a wide range of scales from diurnal to inter-annual.
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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
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Interval/period: Mon, 01/01/1940 - Fri, 12/31/2100
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Interval/period: Sun, 01/01/1950 - Thu, 12/31/2099
Interval/period: Mon, 01/01/1979 - Mon, 12/31/2018
ERA-Interim/Land is a global reanalysis of land-surface parameters from 1979-2010 at 80 km spatial resolution. It was produced with a recent version of the HTESSEL land-surface model using atmospheric forcing from ERA-Interim, with precipitation adjustments based on GPCP v2.1.
Interval/period: N/A
Fifth Generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5).
Produced by replaying only the land component of the ECMWF ERA5 climate reanalysis, it benefits from the same physical data-assimilation framework but runs offline at
higher spatial detail (9 km grid) to deliver richer land-surface information.
Interval/period: Sun, 01/01/1950 - Thu, 12/31/2026