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Multiparam: Weekly mean anomalies

This chart shows 7-day mean anomalies for a range of parameters from the ECMWF Sub-seasonal ...

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Northern Hemisphere 500 hPa height anomaly

**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**

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Experimental: GraphCast ML model: Temperature and geopotential at various pressure levels

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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Experimental: GraphCast ML model: Wind and geopotential heights at various pressure levels

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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Experimental: Pangu-Weather ML model: 500 hPa geopotential height and 850 hPa temperature

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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Experimental: Pangu-Weather ML model: Temperature and geopotential at various pressure levels

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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Experimental: Pangu-Weather ML model: Wind and geopotential heights at various pressure levels

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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Weather regimes probabilities - Sub-seasonal range forecast

This diagram shows daily probabilities for four types of Euro-Atlantic weather regimes over ...

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Weekly Scores

**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**

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Wind and geopotential heights at various pressure levels

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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