This chart provides information on the verification of forecasts of Accumulated Cyclone Energy ...

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

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Mean wave period is the spectrally averaged period of the waves. Wave periods are shown in seconds using colour shading – click on the middle icon to the bottom right for the scale...

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This chart shows probability information regarding mean wave period derived from the ECMWF ...

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This chart shows probability information regarding significant wave height derived from the ...

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These charts show the probability of various mean periods of ocean waves 10-15 days ahead. The ...

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open_in_newview in Open Charts

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

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open_in_newview in Open Charts

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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Mean windsea wave direction is the spectrally averaged direction of propagation of the windsea waves (weighted by wave height). Arrow length is proportional to the speed of wave propagation...

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Significant windsea wave height can be shown to correspond to the average wave height of the top one-third highest windsea waves. Wave heights are shown in metres using colour shading...

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These charts show probability of various heights of significant waves 10-15 days ahead. The ...

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Mean total swell wave direction is the spectrally averaged propagation direction of the swell waves (weighted by wave height) of the part of the spectrum that is NOT windsea...

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Wave height is the vertical distance between trough and crest. Wave period is the time between the passage of one wave crest and the next. The arrow direction is the direction the waves are moving towards...

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open_in_newview in Open Charts

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

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open_in_newview in Open Charts

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

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open_in_newview in Open Charts

The charts show mean frequency and accumulated cyclone energy of tropical storm activity. ...

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This chart provides information on the verification of forecasts of the expected number of ...

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The charts show the evolution of existing and potential tropical cyclone activity. ...

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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

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 data on model levels for Europe from 1984 to present.

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

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

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).

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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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