Datasets
Interval/period: Tue, 09/01/1981 - Sun, 12/01/2024
Interval/period: Mon, 01/01/1979 - Mon, 06/30/2025
This chart shows probabilities for the 7-day mean anomalies of surface temperature to be in ...
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This chart shows probabilities that 7-day mean surface temperatures (from the 101 forecast ...
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This chart shows 7-day mean anomalies of surface temperature from the ECMWF Sub-seasonal range ...
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Interval/period: Wed, 01/01/1986 - Wed, 11/30/2011
Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1979-1989). Native grid is Tco1279 (9km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.
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Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1990-1999). Native grid is Tco1279 (9km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.
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Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2000-2015). Native grid is Tco1279 (9km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.
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Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2016-2023). Native grid is Tco1279 (9km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.
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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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The ECMWF OCEAN5 system is a new global eddy-permitting ocean-sea ice ensemble reanalysis analysis system. This Technical Memorandum gives a full description of the OCEAN5 system, with the focus on its Behind-Real-Time (BRT) component, the reanalysis product ORAS5. The OCEAN5 Real-Time (RT) component includes all upgrades developed for ORAS5 and runs daily using the latest observations and forcing fields from the operational Numerical Weather Prediction (NWP).
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The two main variable groups are fuel load and fuel moisture, both of which are further divided by live/dead and wood/foliage fractions.
The dataset combines state-of-the-art model data (ERA5-Land) with observations from multiple satellites and in-situ variables into a globally complete and consistent dataset.
Interval/period: Wed, 01/01/2003 - Fri, 12/31/2021
**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**
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These diagrams compare recent ECMWF verification scores for Mean Sea Level Pressure with ...
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These diagrams compare recent ECMWF verification scores for 500 hPa height with those of other ...
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This diagram shows mean and standard deviation of errors in the HRES forecasts for several ...
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The Vertical Profiles display the vertical structure of the forecast model atmosphere in a familiar user friendly way. The vertical structure of temperatures (red) dewpoints (green) and dewpoint depressions (blue) from each ENS member ...
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Predicting near surface visibility is dependent on predicting the correct dynamic and thermodynamic conditions in the boundary layer which can be highly variable. Fog is an extremely important weather hazard...
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The movement or transfer of vorticity helps in the assessment of vertical motion of air (ascent) in the troposphere. Where a local vorticity maximum approaches an area there is a tendency for air to rise and where a local vorticity maximum moves ...
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Vorticity is the tendency of an air particle to rotate or circulate around a particular point. Relative Vorticity is a measure about a vertical axis of the local rotation or spin of the air relative...
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This diagram shows daily probabilities for four types of Euro-Atlantic weather regimes over ...
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The DestinE Digital Twin for Weather-Induced Extremes (Extremes DT) supports responding and adapting to extreme events in a changing world by providing a capability to produce tailored simulations and address what-if scenarios related to extreme events in a past, present and future climate, complementing existing capabilities at national and European level.
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