Datasets
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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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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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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Dew Point Temperature at 2 m above the earth’s surface gives an indication of conditions which a person will experience or feel. High dewpoint temperatures inhibit heat loss from the body by perspriation and...
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Temperatures at 2 m above the earth’s surface and winds at 10 m above the earth’s surface approximate most closely to the conditions that a person would experience.
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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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In the northern hemisphere the air rotates anti-clockwise around low contour centres and clockwise around the high contour centres. In the southern hemisphere the air rotates clockwise around low contour centres and ...
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The air flow is not the same at all levels and can be very different in strength and direction when associated with vigorous weather systems...
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AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution
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AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution
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AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution
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AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution
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AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution
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These charts show MSLP and 850hPa forecasts for the Ensemble Control Forecast, and 50 ENS ...
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This chart shows probability information regarding dew point temperature 2 m above the ground derived from the ECMWF ensemble (ENS) at the validity time...
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These charts are derived from the ECMWF ensemble forecast (ENS) system and show probability of 2 ...
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These charts are derived from the ECMWF ensemble forecast (ENS) system. They show probability ...
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This chart shows probability information regarding maximum temperature 2 m above the ground derived from the ECMWF ensemble (ENS) during the 6 hour period preceding the validity time...
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This chart shows probability information regarding minimum temperature 2 m above the ground derived from the ECMWF ensemble (ENS) during the 6 hour period preceding the validity time...
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These diagrams show the evolution of regimes indicative of likely weather by week around ...
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