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ERA5-Land monthly averaged data from 1950 to present

ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.

calendar_today Interval/period: Sun, 01/01/1950 - Wed, 04/01/2026

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ERA5-Land post-processed daily statistics from 1950 to present

ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.

calendar_today Interval/period: Sun, 01/01/1950 - Sat, 05/02/2026

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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 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

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

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

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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 Change Adaptation Digital Twin (Climate Adaptation DT) - Control Simulation - 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) - Future Projection - 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 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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Terrestrial water storage anomaly data from 2002 to present derived from satellite gravimetry observations

This dataset provides global Terrestrial Water Storage Anomalies (TWSA) on a 0.5° regular grid. TWSA represent deviations from the long-term average of water stored on or below the Earth’s surface in the form of soil moisture, groundwater, surface water, snow and ice. Designated as an Essential Climate Variable (ECV) as defined by the Global Climate Observing System (GCOS), TWSA is considered essential for contributing to a comprehensive view of Earth’s climate, its variability, and trends.

calendar_today Interval/period: Thu, 04/04/2002 - Tue, 04/01/2025

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Daily and monthly Global Interpolated RAinFall Estimation (GIRAFE) data derived from satellite observations

This dataset provides global estimates of precipitation based on satellite observations. Precipitation is the main component of water transport from the atmosphere to the Earth’s surface within the hydrological cycle. It varies strongly, depending on geographical location, season, synopsis, and other meteorological factors. The supply with freshwater through precipitation is vital for many subsystems of the climate and the environment, but there are also hazards related to extensive precipitation or the lack of precipitation.

calendar_today Interval/period: Tue, 01/01/2002 - Sat, 12/31/2022

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Seasonal forecasts of river discharge and related data by the European Flood Awareness System

This dataset provides gridded modelled daily hydrological time series forced with seasonal meteorological forecasts. The dataset is a consistent representation of the most important hydrological variables across the European Flood Awareness (EFAS) domain. The temporal resolution is daily forecasts initialised once a month consisting of:

River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Sun, 11/01/2020 - Wed, 04/01/2026

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Seasonal forecasts of river discharge and related data by the Global Flood Awareness System

This dataset provides an ensemble of forecasted time series of gridded hydrological data forced with seasonal meteorological forecasts. The data set is a product of the Global Flood Awareness System (GloFAS) and offers a consistent representation of key hydrological variables across the global domain including:

River discharge
Soil wetness index (root zone)
Snow water equivalent
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Tue, 12/01/2020 - Wed, 04/01/2026

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Seasonal reforecasts of river discharge and related data by the European Flood Awareness System

This dataset provides modelled daily hydrological time series forced with seasonal meteorological reforecasts. The dataset is a consistent representation of the most important hydrological variables across the European Flood Awareness (EFAS) domain. The temporal resolution is daily forecasts initialised once a month from 1991 to near real-time of:

River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Fri, 01/01/1999 - Tue, 05/12/2026

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Seasonal reforecasts of river discharge and related data from the Global Flood Awareness System

This dataset provides a gridded modelled time series of river discharge forced with seasonal range meteorological reforecasts. The data is a consistent representation of a key hydrological variable across the global domain, and is a product of the Global Flood Awareness System (GloFAS). It is accompanied by an ancillary file for interpretation that provides the upstream area (see the related variables table and associated link in the documentation).

calendar_today Interval/period: Thu, 01/01/1981 - Sat, 07/01/2023

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Soil moisture gridded data from 1978 to present

The C3S satellite soil moisture (SM) service provides a range of global soil moisture variables derived from numerous satellite sensors, including scatterometers and radiometers. The products are designed primarily for applications related to climate variability and change, land–atmosphere interactions, global biogeochemical cycles, ecology, hydrological and land surface modelling, drought monitoring, and meteorology.

calendar_today Interval/period: Wed, 11/01/1978 - Mon, 04/20/2026

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