Datasets
b'Detailed information on these EXPERIMENTAL products can be found
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This diagram gives a measure of the effectiveness of the model by showing how far ahead in the ...
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This diagram gives a measure of the effectiveness of the model by showing when the 1-SEEPS of ...
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This diagram gives a measure of the effectiveness of the model by showing when the 1-SEEPS of ...
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Lightning flash densities are diagnosed from forecast values of hydrometeor content, CAPE (convective available potential energy), and cloud base height that has been output by the convection scheme...
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**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**
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This dataset provides daily gridded data of sea ice concentration for both hemispheres derived from satellite passive microwave brightness temperatures. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is listed as an Essential Climate Variable by the Global Climate Observing System.
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This dataset provides daily gridded data of sea ice edge and sea ice type derived from brightness temperatures measured by satellite passive microwave radiometers. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is recognized by the Global Climate Observing System as an Essential Climate Variable. Sea ice edge and type are some of the parameters used to characterise sea ice.
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This dataset provides monthly gridded data of sea ice thickness for the Arctic region based on satellite radar altimetry observations. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is recognized by the Global Climate Observing System as an Essential Climate Variable.
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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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Precipitation totals include all precipitation types (rain, snow etc.) (in mm of rainfall or rainfall equivalent) falling in 6 hour or 12 hour periods using colour shading...
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Total accumulated rainfall charts identify areas at greater risk of significant rainfall (or rain equivalent e.g.snowfall) but give no information regarding whether this occurs over a short or prolonged time period...
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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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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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This chart shows the spatial variation in the Relative Operating Characteristics (ROC) skill ...
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The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...
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This chart shows the spatial variation in the Anomaly Correlation Coefficient (ACC) for the ...
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The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at ...
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The charts show totals of large scale precipitation, convective precipitation, and the total of precipitation during the 6 hour period previous to the selected validity time...
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These charts show the rate of fall of large scale precipitation, the rate of fall of convective precipitation, the rate of fall of snowfall, or the rate of fall of all precipitation...
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Where precipitation is forecast, a type of precipitation can be assigned according to the temperature structure of the model atmosphere that includes the layers through which the model precipitation falls...
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