A subset of ECMWF real-time forecast data from the IFS and AIFS models is made available to the public free of charge. Their use is governed by the Creative Commons CC-BY-4.0 licence and the ECMWF Terms of Use.

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Atmospheric Model high resolution 15-day forecast (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"  

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The Copernicus Climate Change Service (C3S) seasonal forecast service is based on data from several state-of-the-art seasonal prediction systems.

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This data set contains net fluxes at the surface, atmospheric mixing ratios at model levels, for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20).

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These seasonal data comprises ensembles of individual forecasts coupled to an ocean model and post-processed products of average conditions (e.g. monthly averages) with the associated uncertainty. Products are available for forecast month 8-13, each quarter (February, May, August, November).

The following sub-sets are available:

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15-member coupled IFS (cycle 43R1) extended-range reforecast experiment covering the period 1989-2015. The atmosphere is configured with 91 vertical levels and uses the Tco399 cubic octahedral reduced Gaussian grid. The IFS is coupled hourly to the 75 level version of the NEMO v3.4 ocean model and the LIM2 sea-ice model, both of which use the ORCA025 tripolar grid. Coupling follows the implementation used in ECMWF operational forecasts.

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15-member coupled IFS (cycle 43R1) extended-range reforecast experiment covering the period 1989-2015 with bias-corrected sea-surface temperatures (SSTs) in the North Atlantic region. This experiment can be compared with gkzp, which is the relevant control without bias-correction. The atmosphere is configured with 91 vertical levels and uses the Tco399 cubic octahedral reduced Gaussian grid.

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WMO Core, previously known as WMO Essential, is available to the public and governed by the Creative Commons CC-4.0-BY licence and also ECMWF Terms of Use.

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WMO Recommended, previously known as WMO Additional, is available to the public and governed by the Creative Commons CC-4.0-BY licence and also ECMWF Terms Of Use.

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These products are available to the African Center of Meteorological Application for Development (ACMAD) countries.

Based on HRES

The products outlined below are disseminated via EUMETCast

Please refer to WMO Additional products  for the equivalent products available on a global domain via the ECMWF's DCPC FTP server.

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The Climate Change Adaptation Digital Twin dataset (Version 1) - delivering global high-quality climate information at scales that matter to society

The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of innovative climate information on multi-decadal timescales, at scales at which the impacts of climate change are observed.

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ERA-Interim/Land is a global reanalysis of land-surface parameters from 1979-2010 at 80 km spatial resolution. It was produced with a recent version of the HTESSEL land-surface model using atmospheric forcing from ERA-Interim, with precipitation adjustments based on GPCP v2.1.

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An eddy-permitting ocean reanalysis spanning the period 1979–2012. Includes increased horizontal and vertical resolution, an prognostic sea-ice component, new versions of the ocean and data assimilation system, revised surface fluxes, new version and treatment of satellite sea surface height data, and assimilation of sea-ice concentration, among others.

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Uses a sophisticated data assimilation methodology which includes a model bias correction. The ocean model used is forced by atmospheric daily surface fluxes, relaxed to SST and bias corrected.

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SEAS comprises ensembles of individual forecasts coupled to an ocean model and post-processed products of average conditions (e.g. monthly averages) with the associated uncertainty. Products are available up to 7 months ahead.

The following sub-sets are available:

V-i: Monthly means of ensemble means

Field 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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