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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open_in_newview in Open Charts

This diagram gives a measure of the effectiveness of the model by showing when the 1-SEEPS of ...

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open_in_newview in Open Charts

This diagram gives a measure of the effectiveness of the model by showing when the 1-SEEPS of ...

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open_in_newview in Open Charts

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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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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open_in_newview in Open Charts
The C3S Arctic Regional Reanalysis second generation (CARRA2) dataset contains daily and monthly meteorological variables at 2.5 km resolution. These variables are specified at single levels (including surface) and also at soil, height, pressure and model levels. These daily and monthly data are pre-calculated and have the following types depending on the variables: daily and monthly averages, extremes and totals.

calendar_today Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023

The C3S Arctic Regional Reanalysis second generation (CARRA2) dataset contains 3-hourly analyses at 2.5 km resolution. These variables are specified at single levels (including surface) and also at soil, height, pressure and model levels. Additionally, hourly forecasts are available between the analysis times and particularly forecasts up to 18 hours initialised from the analyses at 00 and 12 UTC.

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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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This chart shows probabilities for the 7-day mean anomalies of precipitation to be in defined ...

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open_in_newview in Open Charts