Datasets

500 hPa Geopotential - Reliability Diagram - SEAS5

The reliability diagram shows the reliability of the ECMWF seasonal forecast system (SEAS5) with ...

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500 hPa Geopotential - ROC Diagram - SEAS5

This chart shows the Relative Operating Characteristics (ROC) diagram for the three-month ...

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500 hPa Geopotential - ROC Skill Scores - SEAS5

This chart shows the spatial variation in the Relative Operating Characteristics (ROC) skill ...

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500 hPa Geopotential Anomaly - SEAS5

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

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500 hPa geopotential height and 850 hPa temperature

The 850 hPa level is usually just above the boundary layer and at this level the day-night variation in temperature is generally negligible...

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500 hPa height: Weekly mean anomalies

This chart shows 7-day mean anomalies of 500hPa geopotential height from the ECMWF Sub-seasonal ...

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500-1000 hPa thickness and mean sea level pressure

500-1000 hPa thickness is a measure of the mean temperature of a column of the atmosphere between these pressure levels and can be used to distinguish between warm and cold air masses and...

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500 hPa Geopotential - Anomaly Correlation Coefficient - SEAS5

This chart shows the spatial variation in the Anomaly Correlation Coefficient (ACC) for the ...

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Experimental: Aurora ML model: 500 hPa geopotential height and 850 hPa temperature

Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.

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Experimental: Aurora ML model: Temperature and geopotential at various pressure levels

Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.

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Experimental: Aurora ML model: Wind and geopotential heights at various pressure levels

Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.

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Experimental: FourCastNet ML model: 500 hPa geopotential height and 850 hPa temperature

FourCastNet v2-small:a deep learning-based system developed by NVIDIA in collaboration with researchers at several US universities.It is initialised with ECMWF analysis. FourCastNet operates at 0.25° resolution.

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Experimental: FourCastNet ML model: Temperature and geopotential at various pressure levels

FourCastNet v2-small:a deep learning-based system developed by NVIDIA in collaboration with researchers at several US universities.It is initialised with ECMWF analysis. FourCastNet operates at 0.25° resolution.

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Experimental: FourCastNet ML model: Wind and geopotential heights at various pressure levels

FourCastNet v2-small:a deep learning-based system developed by NVIDIA in collaboration with researchers at several US universities.It is initialised with ECMWF analysis. FourCastNet operates at 0.25° resolution.

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Experimental: GraphCast ML model: 500 hPa geopotential height and 850 hPa temperature

GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.

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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 indicators for Europe from 2005 to 2100 derived from climate projections

This dataset provides climate and energy indicators for the Europe as part of the Copernicus climate change service (C3S) Energy operational service. The climate-relevant indicators for the energy sector considered are: air temperature, precipitation, incoming solar radiation, wind speed at 10 m and 100 m, and mean sea level air pressure. The energy indicators are electricity demand and power generation from various sources: wind (both onshore and offshore), solar and hydro (run-of-river and reservoir) power.

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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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CMIP6 predictions underpinning the C3S decadal prediction prototypes

This catalogue entry provides daily and monthly global climate model data from Decadal Climate Predictions Project (DCPP) experiments, part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). The decadal data in the Climate Data Store (CDS) are a quality-controlled subset of the full DCPP.

calendar_today Interval/period: Sun, 01/01/1860 - Mon, 12/31/2300

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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 - Sat, 07/04/2026

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Continuous ranked probability skill scores (CRPSS) of forecasts of upper-air parameters by TIGGE centres.

These diagrams compare Continuous Ranked Probability Skill Scores (CRPSS) of ECMWF with ...

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CORDEX regional climate model data on single levels

This catalogue entry provides Regional Climate Model (RCM) data on single levels from a number of experiments, models, domains, resolutions, ensemble members, time frequencies and periods computed over several regional domains all over the World in the framework of the Coordinated Regional Climate Downscaling Experiment (CORDEX). The term "single levels" is used to express that the variables are 2D-matrices computed on one vertical level which can be surface (or a level close to the surface) or a dedicated pressure level in the atmosphere.

calendar_today Interval/period: Sun, 01/01/1950 - Fri, 12/31/2100

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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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Climate indicators for Europe from 1940 to 2100 derived from reanalysis and climate projections

This dataset provides a series of climate indices derived from reanalysis and model simulations data hosted on the Copernicus Climate Data Store (CDS). These indicators describe how climate variability and change of essential climate variables can impact sectors such as health, agriculture, forestry, energy, tourism, or water and coastal management.

calendar_today Interval/period: Mon, 01/01/1940 - Fri, 12/31/2100

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Cluster scenario

These charts show clustering of ENS members based on the 500 hPa height forecasts. ...

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