Datasets
The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of innovative climate information on multi-decadal timescales, at scales at which the impacts of climate change are observed.
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The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of innovative climate information on multi-decadal timescales, at scales at which the impacts of climate change are observed.
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Interval/period: Sun, 01/01/1950 - Thu, 12/31/2099
Interval/period: Mon, 01/01/1979 - Mon, 12/31/2018
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
This dataset provides daily gridded data of sea ice concentration for both hemispheres derived from satellite passive microwave brightness temperatures. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is listed as an Essential Climate Variable by the Global Climate Observing System.
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This dataset provides daily gridded data of sea ice edge and sea ice type derived from brightness temperatures measured by satellite passive microwave radiometers. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is recognized by the Global Climate Observing System as an Essential Climate Variable. Sea ice edge and type are some of the parameters used to characterise sea ice.
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This dataset provides monthly gridded data of sea ice thickness for the Arctic region based on satellite radar altimetry observations. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is recognized by the Global Climate Observing System as an Essential Climate Variable.
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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
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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
Note: This Generation 1 Collection has been superseded by Generation 2 Simulation-level Collections
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Note: This Generation 1 Collection has been superseded by Generation 2 Simulation-level Collections
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The nextGEMS data is aligned with the Climate Change Adaptation Digital Twin. 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.
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The nextGEMS data is aligned with the Climate Change Adaptation Digital Twin. 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.
Interval/period: N/A
Interval/period: Tue, 09/01/1981 - Sun, 12/01/2024
An eddy-permitting ocean reanalysis spanning the period 1979–2012. Includes increased horizontal and vertical resolution, an prognostic sea-ice component, new versions of the ocean and data assimilation system, revised surface fluxes, new version and treatment of satellite sea surface height data, and assimilation of sea-ice concentration, among others.
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The two main variable groups are fuel load and fuel moisture, both of which are further divided by live/dead and wood/foliage fractions.
The dataset combines state-of-the-art model data (ERA5-Land) with observations from multiple satellites and in-situ variables into a globally complete and consistent dataset.
Interval/period: Wed, 01/01/2003 - Fri, 12/31/2021
The DestinE Digital Twin for Weather-Induced Extremes (Extremes DT) supports responding and adapting to extreme events in a changing world by providing a capability to produce tailored simulations and address what-if scenarios related to extreme events in a past, present and future climate, complementing existing capabilities at national and European level.
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Interval/period: Sun, 01/01/1950 - Thu, 06/25/2026