Datasets
The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...
Interval/period: N/A
This chart shows the spatial variation in the Anomaly Correlation Coefficient (ACC) for the ...
Interval/period: N/A
Wind speed at 200 hPa highlights the jet stream (areas of strong winds in the upper troposphere) which can help identify movement and development of depressions...
Interval/period: N/A
Wind speeds near the surface are roughly proportional to the distance between isobars so closely packed isobars mean strong surface winds...
Interval/period: N/A
This chart shows probabilities for the 7-day mean anomalies of mean sea level pressure (mslp) to ...
Interval/period: N/A
This chart shows probabilities that the 7-day mean of mean sea level pressure (from the 101 ...
Interval/period: N/A
This chart shows 7-day mean anomalies of mean sea level pressure (mslp) from the ECMWF ...
Interval/period: N/A
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...
Interval/period: N/A
The sea surface temperature is from the ensemble control run only. Sea surface temperature evolves according to a two-way coupled ocean-atmosphere system. Sea (or lake) surface temperature are also shown (ºC)...
Interval/period: N/A
The reliability diagram shows the reliability of the ECMWF seasonal forecast system (SEAS5) with ...
Interval/period: N/A
This chart shows the Relative Operating Characteristics (ROC) diagram for the three-month ...
Interval/period: N/A
This chart shows the spatial variation in the Relative Operating Characteristics (ROC) skill ...
Interval/period: N/A
The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...
Interval/period: N/A
This chart shows the spatial variation in the Anomaly Correlation Coefficient (ACC) for the ...
Interval/period: N/A
Interval/period: Mon, 01/01/1979 - Wed, 04/01/2026
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
Interval/period: N/A
GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
Interval/period: N/A
GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
Interval/period: N/A