Datasets
Single prediction that uses
observations prior information about the Earth-system ECMWF's highest-resolution modelHRES Direct model output Products offers "High Frequency products"
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A vast amount of data is archived daily containing IFS (Integrated Forecast System) experiments produced by ECMWF's Research Department or by Member States' users at ECMWF. Basically, an experiment can address any area of meteorology and it is archived accordingly. Users wanting to retrieve Research experiments need to know in advance the name of the specific experiment and its nature. For this information please, contact User Support.
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A meso-scale ensemble system focusing on short range probabilistic forecasts and profiting from advanced multi-scale ALARO physics. Its main purpose is to provide probabilistic forecast on daily basis for the national weather services of RC LACE partners. It also serves as a reliable source of probabilistic information applied to downstream hydrology and energy industry.
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It is the Limited-area Ensemble Prediction System (LEPS), based on COSMO-model and implemented within COSMO (COnsortium for Small-scale Modelling, including Germany, Greece, Israel, Italy, Poland, Romania, Russia, Switzerland) implemented and maintained by Arpae-SIMC.
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Each country's experiments can be accessed via the links below:
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HIRETYCS is the High Resolution Ten Year Climate Simulation. This data set consist of 10-year climate simulations produced at three centres: Centre National de Recherches Météorologiques (CNRM), Max-Planck Institute (MPI) and United Kingdom Met Office.
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ECMWF is a participant in the Development of a European Land Data Assimilation System to predict Floods and Droughts (ELDAS) project funded by the European Union.
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European Reanalysis and Observations for Monitoring project is a EU funded project that provides timely and reliable information about the state and evolution of the European climate. It combines observations from satellites, ground-based stations and results from comprehensive model-based regional reanalyses. By closely monitoring European climate, climate variability and change can be better understood and predicted.
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A set of experiments from four centres: ECMWF, Météo-France, EDF and Met Office. The experiments are 120 day runs from 9 consecutive starting days, with write-ups every 24 hours of Pressure level and Surface data.
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The objective of UERRA is to produce ensembles of European regional meteorological reanalyses of Essential Climate Variables (ECVs) for several decades and to estimate the associated uncertainties in the data sets. It also includes recovery of historical (last century) data. UERRA datasets come from 5 Numerical Weather Predication models: COSMO, HARMONIE, MESAN, MESCAN-SURFEX and UM/4DVAR.
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A routine inter-comparison of wave model forecast verification data was first established in 1995, developed around the exchange of model forecast data at an agreed list of moored buoy sites at which instrumented observations of significant wave height, wave period and wind speed are available over the WMO GTS.
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CAMS produces specific daily air quality analyses and forecasts for the European
domain at significantly higher spatial resolution (0.1 degrees, approx. 10km)
than is available from the global analyses and forecasts. The production is
based on an ensemble of eleven air quality forecasting systems across Europe. A
median ensemble is calculated from individual outputs, since ensemble products
Interval/period: Wed, 05/03/2023 - Fri, 05/08/2026
stations after optimisation using a statistical post-processing method called
Model Output Statistics (MOS). The unoptimised "raw" forecasts are also
provided in the same format.
The MOS method uses machine learning with predictive variables including
background air quality observation datasets, ECMWF meteorological forecasts and
the "raw" CAMS European air quality ensemble median forecast. The result is
Interval/period: Wed, 01/17/2024 - Fri, 05/08/2026
Interval/period: Tue, 01/01/2013 - Tue, 12/31/2024
Interval/period: Thu, 01/01/2015 - Thu, 05/07/2026
CAMS Global atmospheric composition forecast production system is used to produce the daily forecasts of pollutants, aerosols and greenhouse gases across the globe. Satellite observations of atmospheric composition are merged with a detailed computer simulation of the atmosphere using a method called data assimilation. The resulting analyses, i.e.
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Interval/period: Wed, 01/01/2003 - Wed, 12/03/2025
Interval/period: Sat, 01/01/2000 - Thu, 12/31/2020
Interval/period: Fri, 03/01/2024 - Thu, 05/07/2026
Interval/period: Wed, 01/01/2003 - Thu, 12/31/2020
Interval/period: Wed, 01/01/2003 - Thu, 12/31/2020
Interval/period: Mon, 01/01/1979 - Tue, 12/31/2024
Interval/period: Wed, 01/01/2003 - Sun, 12/31/2017
carbon dioxide
methane
tropospheric ozone
stratospheric ozone
interactions between anthropogenic aerosols and radiation
interactions between anthropogenic aerosols and clouds
Interval/period: Wed, 01/01/2003 - Sun, 12/31/2017
Interval/period: Wed, 01/01/2003 - Thu, 10/31/2024