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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 high resolution 15-day forecast (Set I - HRES)

Single prediction that uses

observations prior information about the Earth-system ECMWF's highest-resolution model

HRES Direct model output Products offers "High Frequency products"  

4 forecast runs per day (00/06/12/18) (see dissemination schedule for details) Hourly steps to step 90 for all four runs.

Not all post-processed Products are available at 06/18 runs or in hourly steps.

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Atmospheric Model Sub-seasonal forecast (Set VI - Sub-seasonal)

The sub-seasonal products comprise ensembles of individual forecasts up to 46 days and post-processed products of average conditions (e.g. weekly averages) and the associated uncertainty.

The purchase of the "Basic Set" +72, +96, +120, +144, +168 hrs is a mandatory prerequisite for the purchase of time steps in the range 12 to 66 hours.

The following sub-sets are available from the sub-seasonal forecast (46 days):

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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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(EXPERIMENTAL) 2 m temperature: Quantile-based weekly guidance maps

Detailed information on these EXPERIMENTAL products can be found

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(EXPERIMENTAL) Mean sea level pressure: Quantile-based weekly guidance maps

Detailed information on these EXPERIMENTAL products can be found

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(EXPERIMENTAL) Precipitation: Quantile-based weekly guidance maps

b'Detailed information on these EXPERIMENTAL products can be found

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(EXPERIMENTAL) Surface temperature: Quantile-based weekly guidance maps

Detailed information on these EXPERIMENTAL products can be found

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(EXPERIMENTAL) Thermal comfort parameters

Various thermall comfort parameters showing thermal comfort

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(New!) ENS visibility meteogram

This product is derived from an ensemble of 50 model runs plus Control. Visibility is an ...

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(New!) Simulated images - visible channels

Simulated visible images show simulations of the upward flux of radiation (as would be detected by a weather satellite) derived from information using the model representation of temperatures and cloud layers.

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(Next AIFS version - v2) AIFS ENS Meteograms

(Next AIFS version v2) AIFS ENS Meteograms show a probabilistic interpretation of the AIFS ENS forecasts for specific locations using a box and whisker plot. It shows the time evolution of the distribution of several meteorological parameters on a single diagram...

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