Datasets
At any location over the oceans, there is a spectrum of waves which describes how much wave energy is present for given wave frequencies and direction of propagation...
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Significant wave height can be shown to correspond to the average wave height of the top one-third highest waves. The wave period of windsea is generally <10s,...
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At any location over the oceans, there is a spectrum of waves which describes how much wave energy is present for given wave frequencies and direction of propagation...
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These charts show the the wave energy flux (in kW m⁻¹) calculated as the integral, over all forecast wave frequencies and wave directions, of the product of the wave group speed and the two-dimensional energy wave spectrum...
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The height of topography above mean sea level and the depth of the sea for each model grid box ...
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Interval/period: Tue, 10/01/1985 - Wed, 12/31/2025
Interval/period: Sun, 09/01/1985 - Wed, 12/31/2025
The reliability diagram shows the reliability of the ECMWF seasonal forecast system (SEAS5) with ...
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This chart shows the Relative Operating Characteristics (ROC) diagram for the three-month ...
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The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at ...
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Interval/period: Sun, 01/01/1950 - Fri, 01/01/2100
MUCAPE (Most Unstable Convective Available Potential Energy) is an indicator of atmospheric instability (the susceptibility of the troposphere to support free convection) and...
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Interval/period: Fri, 01/01/2021 - Wed, 08/26/2026
These charts aim to point towards areas where anomalous weather is likely to occur. ...
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This chart shows 7-day mean anomalies for a range of parameters from the ECMWF Sub-seasonal ...
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This chart provides a range of skill scores relating to forecasts of the evolution of the sea ...
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This chart provides a range of skill scores relating to forecasts of the evolution of the sea ...
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**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**
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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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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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Pangu-Weather: a deep learning-based system developed by Huawei. It is initialised with ECMWF analysis. Pangu-Weather operates at 0.25° resolution.
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Pangu-Weather: a deep learning-based system developed by Huawei. It is initialised with ECMWF analysis. Pangu-Weather operates at 0.25° resolution.
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Pangu-Weather: a deep learning-based system developed by Huawei. It is initialised with ECMWF analysis. Pangu-Weather operates at 0.25° resolution.
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This chart shows probability information regarding point precipitation, as derived from the ...
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850 hPa wet-bulb potential temperature is commonly used to identify air masses and a strong gradient of wet bulb potential temperature is indicative of fronts between two different air masses...
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