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
ECMWF is now running a series of data-driven forecasts as part of its experimental suite. These machine-learning based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute. The outputs are available in graphical form.
Currently, three of these models are available:
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Interval/period: Mon, 01/01/2001 - Fri, 04/01/2022
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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
ECMWF is now running its own Artificial Intelligence Forecasting System (AIFS). The AIFS consists of a deterministic model and an ensemble model. The deterministic model has been running operationally since 25 February 2025; further details can be found on the dedicated Implementation of AIFS Single v1 page.
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The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed. It combines cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide global climate projections and impact-sector information on multi-decadal timescales (1990 to ~2050), at very high spatial resolutions (5 to 10 km).
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The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed. It combines cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide global climate projections and impact-sector information on multi-decadal timescales (1990 to ~2050), at very high spatial resolutions (5 to 10 km).
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The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed. It combines cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide global climate projections and impact-sector information on multi-decadal timescales (1990 to ~2050), at very high spatial resolutions (5 to 10 km).
Interval/period: N/A
The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed. It combines cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide global climate projections and impact-sector information on multi-decadal timescales (1990 to ~2050), at very high spatial resolutions (5 to 10 km).
Interval/period: N/A
The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed. It combines cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide global climate projections and impact-sector information on multi-decadal timescales (1990 to ~2050), at very high spatial resolutions (5 to 10 km).
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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
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
Interval/period: Sun, 01/01/1950 - Sat, 05/02/2026
Interval/period: Sun, 01/01/1950 - Wed, 04/01/2026
Interval/period: Sun, 01/01/1950 - Sat, 05/02/2026