Datasets

Atmospheric Model high resolution 15-day forecast (HRES), I-i-e: Other surface levels, e.g. multi-level snow fields

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Atmospheric Model high resolution 15-day forecast (HRES), I-i-f: Human Thermal Comfort Indices

Human Thermal Comfort Indices parameters from the Control forecast (formerly HRES) up to 15 days. The products are provided in GRIB 1 or GRIB 2 format.

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Atmospheric Model high resolution 15-day forecast (HRES), I-ii: Time series of weather parameters

The products consist of values of the individual members of the real-time forecast at grid points (single locations). The products are provided in BUFR code. Select the number of locations you will require. Once you have submitted your order, you will be required to provide a list of all points to the Licensor handling your data.

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Atmospheric Model high resolution 15-day forecast (HRES), I-iii: Tropical cyclone tracks

Tropical cyclone tracks are provided in BUFR format. These data will only be disseminated when a tropical cyclone is active. Tropical cyclone tracks are free of charge as part of the WMO Essential dataset: https://www.ecmwf.int/en/forecasts/datasets/wmo-essential

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Atmospheric Model high resolution 15-day forecast (HRES), I-iv: Simulated Satellite Images

Information on Simulated Satellite Images can be found here: https://confluence.ecmwf.int/display/FCST/Simulated+satellite+data

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Atmospheric Model Sub-seasonal forecast, VI-i-a: Weekly means of ensemble means - Single level

The following fields are weekly means computed from data of the daily individual forecast runs (section VI-v) and averaged over all ensemble members. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-i-b: Weekly means of ensemble means - Pressure levels

The following fields are weekly means computed from data of the daily individual forecast runs (section VI-v) and averaged over all ensemble members. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-ii-a: Weekly mean anomalies of ensemble means - Single level

The following products correspond to the products in section VI-i with the model climate mean subtracted. The model climate is derived from hindcast statistics. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-ii-b: Weekly mean anomalies of ensemble means - Pressure levels

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Atmospheric Model Sub-seasonal forecast, VI-iii-a: Weekly means of individual ensemble members - Single level

The following fields are weekly means computed from data of the daily individual forecast runs (section VI-v) for the individual ensemble members. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-iii-b: Weekly means of individual ensemble members - Pressure levels

The following fields are weekly means computed from data of the daily individual forecast runs (section VI-v) for the individual ensemble members. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-iv-a: Weekly mean anomalies of individual ensemble members - Single level

The following products correspond to the products in section VI-iii with the model climate mean subtracted. The model climate is derived from hindcast statistics. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-iv-b: Weekly mean anomalies of individual ensemble members - Pressure levels

The following products correspond to the products in section VI-iii with the model climate mean subtracted. The model climate is derived from hindcast statistics. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-v-a: Individual forecast runs - 6-hourly - Single level

The products contain values for each ensemble member of the Monthly Prediction System plus the equivalent hindcast products. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-v-b: Individual forecast runs - 12-hourly - Pressure levels

The products contain values for each ensemble member of the Monthly Prediction System plus the equivalent hindcast products. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-v-c: Individual forecast runs - 6-hourly - wave

The products contain values for each ensemble member of the Monthly Prediction System plus the equivalent hindcast products. The fields are provided in GRIB code.

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Atmospheric Model Sub-seasonal forecast, VI-v-d: Individual forecast runs - 12-hourly - potential vorticity levels

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Atmospheric Model Sub-seasonal forecast, VI-vi-a: Probabilities - Weekly averaged

The fields provide the probabilities of the occurrence of weather events at each grid point. Weather events are either averaged or accumulated over a period of one week. The products are provided in GRIB code.

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Sea ice concentration

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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Sea ice edge and type

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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Sea ice thickness

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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Seasonal 13-month forecast, VII-i-a: Monthly means of ensemble means - Single level

The following fields are monthly means computed from data of the daily individual forecast runs (section V-v) and averaged over all ensemble members. The fields are provided in GRIB code.

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Seasonal 13-month forecast, VII-i-b: Monthly means of ensemble means - Pressure level

The following fields are monthly means computed from data of the daily individual forecast runs (section V-v) and averaged over all ensemble members. The fields are provided in GRIB code.

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Seasonal 13-month forecast, VII-ii-a: Monthly mean anomalies of ensemble means - Single level

The following products correspond to the products in section VII-i with the model climate mean subtracted. The model climate is derived from hindcast statistics. The fields are provided in GRIB code.

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AIFS Ensemble, X-i-a: Surface level

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