Datasets
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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These charts show surface pressure patterns. Areas of high pressure (anticyclones) are usually associated with settled weather...
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Various thermall comfort parameters showing thermal comfort
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Bulk Wind Shearcharts show the vector value (in wind arrow form) of the shear between the low level, near surface level (10 m) and a mid-tropospheric level (about 6 km)...
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The surface wind is influenced by the roughness of the earth's surface and is likely to be less strong, and a little backed (in the northern hemisphere) or veered (in the southern hemisphere)...
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This chart shows the anomaly in the wind speed at 10 m above the earth's surface (in m/s) ...
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These charts show surface pressure patterns. Areas of high pressure (anticyclones) are usually associated with settled weather...
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Air temperatures at 2 m above the earth's surface approximate most closely to the conditions a person would most likely experience...
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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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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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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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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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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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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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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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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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The CAT (Clear Air Turbulence) parameter is given in units of the turbulent Eddy Dissipation Rate (EDR), product shows EDR values on selected flight levels overlayed with wind speeds.
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This chart shows the probability that both the wind at 10 m above the earth's surface is ...
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This chart shows the probability that both the wind at 10 m above the earth's surface is ...
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This chart shows the probability that both the wind at 10 m above the earth's surface is ...
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These diagrams compare Continuous Ranked Probability Skill Scores (CRPSS) of ECMWF with ...
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Bulk Wind Shear charts show the scalar value of the shear between the winds at the two pressure levels selected. Shear can be useful in assessing the strength of a front or...
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This dataset provides daily air quality analyses and forecasts for Europe.
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