Datasets
The total ozone estimates are based on solar UV radiation measurements made by ground-based spectrophotometers (Dobson or Brewer type spectrophotometers).
The vertical profiles of ozone concentration are estimated primarily using ozonesonde observations.
Data are available for 159 Dobson stations, 109 Brewer stations and 135 ozonesondes stations.
Interval/period: Tue, 01/01/1924 - Wed, 05/13/2026
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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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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Interval/period: Thu, 06/01/1995 - Thu, 07/31/2025
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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This chart shows probabilities for the 7-day mean anomalies of precipitation to be in defined ...
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