Datasets
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
Interval/period: Wed, 10/14/2020 - Wed, 08/26/2026
Interval/period: Sun, 01/03/1999 - Sat, 11/25/2023
This diagram shows the variation of Relative Operating Characteristics (ROC) scores with various ...
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This dataset provides gridded modelled hydrological time series forced with medium-range meteorological forecasts. The data is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is sub-daily high-resolution and ensemble forecasts of:
River discharge
Soil moisture for three soil layers
Snow water equivalent
Interval/period: N/A
This diagram gives a measure of the effectiveness of the model. The drop-down menu can ...
Interval/period: N/A
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
Interval/period: Fri, 01/01/1999 - Wed, 08/26/2026
Interval/period: Thu, 01/01/1981 - Sat, 07/01/2023
Interval/period: Tue, 10/01/1985 - Wed, 12/31/2025
Interval/period: Sun, 09/01/1985 - Wed, 12/31/2025
Interval/period: Sun, 01/01/1950 - Fri, 01/01/2100
Interval/period: Fri, 01/01/2021 - Wed, 08/26/2026
This chart shows 7-day mean anomalies for a range of parameters from the ECMWF Sub-seasonal ...
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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.
Interval/period: N/A
Pangu-Weather: a deep learning-based system developed by Huawei. It is initialised with ECMWF analysis. Pangu-Weather operates at 0.25° resolution.
Interval/period: N/A
This diagram shows daily probabilities for four types of Euro-Atlantic weather regimes over ...
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**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**
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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...
Interval/period: N/A
Interval/period: Sun, 01/01/1950 - Thu, 06/25/2026
Interval/period: Sun, 01/01/1950 - Fri, 05/01/2026
Interval/period: Sun, 01/01/1950 - Thu, 06/25/2026
Interval/period: Mon, 01/01/1979 - Fri, 05/01/2026