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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Future Climate - IFS-FESOM

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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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Past Climate - IFS-FESOM

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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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Present Climate - IFS-FESOM

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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CERRA-Land sub-daily regional reanalysis data for Europe from 1984 to present

The Copernicus European Regional ReAnalysis Land (CERRA-Land) dataset provides spatially and temporally consistent historical reconstructions of surface and soil variables at the same horizontal resolution as the CERRA high-resolution reanalysis.

calendar_today Interval/period: Sat, 09/01/1984 - Thu, 07/31/2025

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Climate and energy related variables from the Pan-European Climate Database derived from reanalysis and climate projections

The Pan-European Climate Database (PECD) provides information on climate and renewable energy variables for both historical and future time periods. For historical data, the ERA5 global reanalysis serves as the underlying climate data, while future projections are based on selected CMIP6 global climate models. The raw climate model data are further processed through downscaling to achieve higher spatial and temporal resolution and by applying bias adjustment.

calendar_today Interval/period: Sun, 01/01/1950 - Wed, 12/01/2100

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Complete ERA5 global atmospheric reanalysis

ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate covering the period from January 1940 to present. It is produced by the Copernicus Climate Change Service (C3S) at ECMWF and provides hourly estimates of a large number of atmospheric, land and oceanic climate variables. The data cover the Earth on a 31km grid and resolve the atmosphere using 137 levels from the surface up to a height of 80km. ERA5 includes an ensemble component at half the resolution to provide information on synoptic uncertainty of its products.

calendar_today Interval/period: Sat, 01/01/1949 - Sun, 07/05/2026

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Comprehensive Upper-air Observation Network from 1901 to present

The Comprehensive Upper-air Observation Network (CUON) dataset is designed
to contain all available observations from balloons ascents through the atmosphere.
The main geophysical variables are temperature, humidity, and wind speed and wind direction,
as functions of atmospheric pressure levels. The observation platforms include pilot balloons, radiosondes, and ozonesondes.
The main observation data sources are:
- the NOAA Integrated Global Radiosonde Archive (IGRA version 2),
- the NCAR Upper-Air Database (UADB), and

calendar_today Interval/period: Tue, 01/01/1901 - Tue, 12/31/2024

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Coupled ensemble subseasonal reforecasts (ENS-C) with IFS cycle 49r2

Coupled subsesaonal reforecasts (ENS-C) consisting of 10 perturbed members, each integrated for 46-days, starting on the first of each month between 2006 and 2023 for a total of 216 start dates. The atmospheric model is configured to use the cubic octahedral reduced Gaussian grid with 137 vertical levels and a horizontal resolution of Tco319. The atmosphere is coupled hourly to an eddy-permitting NEMO4-SI3 configuration, which uses 75 vertical levels in the ocean and the eORCA025 grid.

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CY46R1 wave hindcast based on ERA5 forcing 2010-2018

Standalone ECMWF wave model CY46R1 forced by ERA5 hourly neutral 10m winds, surface air density, gustiness and sea ice fraction from 2010 to 2018. Native grid resolution is 14km, 36 directions, 36 frequencies. No wave data assimilation. Hourly output.

Examples

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CY46R1 wave hindcast based on ERA5 forcing 2019-2020

Standalone ECMWF wave model CY46R1 forced by ERA5 hourly neutral 10m winds, surface air density, gustiness and sea ice fraction from 2019 to 2020. Native grid resolution is 14km, 36 directions,36 frequencies. No wave data assimilation. Hourly output.

Examples

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CY47R1 wave hindcast based on ERA5 forcing 1979-1989

Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1979-1989). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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CY47R1 wave hindcast based on ERA5 forcing 1990-1999

Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1999-1999). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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CY47R1 wave hindcast based on ERA5 forcing 2000-2009

Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2000-2009). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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CY47R1 wave hindcast based on ERA5 forcing 2010-2020

Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2010-2020). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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CY47R3 wave hindcast based on ERA5 forcing 2015-2021

Standalone wave model CY47R3 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2015-2021). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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CY50R1 wave hindcast based on ERA5 forcing 1980-1989

Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1980-1989). Native grid is Tco799 (14km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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CY50R1 wave hindcast with altimeter wave height assimilation based on ERA5 forcing 1990-1999

Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1990-1999). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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CY50R1 wave hindcast with altimeter wave height assimilation based on ERA5 forcing 2000-2018

Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2000-2018). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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CY50R1 wave hindcast with altimeter wave height assimilation based on ERA5 forcing 2019-2023

Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2019-2023). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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CY50R1 wave hindcast with altimeter wave height assimilation based on ERA5 forcing 2024-2025

Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2024-2025). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Future Climate - IFS-FESOM - Generation-1 - Realization-1

Note: This Generation 1 Collection has been superseded by Generation 2 Simulation-level Collections

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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Future Climate - IFS-FESOM - Generation-2 - Realization-1

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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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Future Climate - IFS-FESOM - Generation-2 - Realization-2

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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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Future Climate - IFS-FESOM - Generation-2 - Realization-3

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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Climate Change Adaptation Digital Twin (Climate Adaptation DT) - Storyline Simulation Future Climate - IFS-FESOM - Generation-2 - Realization-4

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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open_in_newview in Destination Earth Data