Datasets

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.

Single prediction that uses

HRES Direct model output Products offers "High Frequency products"  

A pre-operational Data Targeting System (DTS) was developed to assess the feasibility of operational adaptive control of the observing system and as a facility to aid research projects using data targeting. The DTS was developed and hosted at ECMWF. The work was jointly funded by EUCOS and the EC as part of the PREVIEW Integrated Project (work package WP3320) of the EU 6th Framework Programme.

The EU-funded  ENSEMBLES project intends to develop an ensemble prediction system for climate change based on the principal state-of-the-art, high resolution, global and regional Earth System models developed in Europe, validated against quality controlled, high resolution gridded datasets for Europe, to produce for the first time, an objective probabilistic estimate of uncertainty in future climate at the seasonal to decadal and longer timescales.

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.

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.

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.

The objective of the EU-funded DEMETER project is to develop a well-validated European coupled multi-model ensemble forecast system for reliable seasonal to inter annual prediction. Six comprehensive European global coupled atmosphere-ocean models are being installed at ECMWF, those of: ECMWF, Météo-France, LODYC, Met Office, MPI, INGV, INM-HIRLAM and CERFACS.

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.

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.

Each country's experiments can be accessed via the links below:

Some Member States also archive output other than from IFS into MARS. One example of such activity is the COSMO-LEPS forecast suite, running daily at ECMWF.

These are experiments created by ECMWF Member States.

This is an extension of the i4ql experiment covering the period 2025-07-27 to 2023-08-10

Examples

Control experiment (CTRL) for an assimilation test with near-real time TROPOMI total column CO data (exp=hmib) using the CAMS CY47R3 configuration. In CTRL, MOPITT TIR and IASI TCCO are assimilated, but TROPOMI TCCO data are passive.

Examples

Retrieval of total column CO analysis

Analysis experiment (ASSIM) testing the assimilation of near-real time TROPOMI total column CO data in the CAMS CY47R3 system for the period 6/7-31/12/2021 (in addition to already assimilated MOPITT TIR and IASI TCCO).

Examples

Retrieval of total column CO analysis

Control experiment for a series of SO2 assimilation tests for the 2019 Raikoke eruption with the CAMS system which assess the impact of assimilating SO2 layer height data (V3.1 FP_ILM). In BLexp (hhu5) ESA NRT SO2 data were assimilated.

Examples

Retrieval of total column SO2 forecast at step 24

Layer height experiment for a series of SO2 assimilation tests for the 2019 Raikoke eruption with the CAMS system which assess the impact of assimilating SO2 layer height data (V3.1 FP_ILM). In LH1.4 (hgz7) SO2 Layer Height data produced with FP_ILM (V3.1) were assimilated with SO2 background error standard deviation values of 1.4e-7 kg/kg and horizontal background error correlation length scale of 100 km.

Examples

Layer height experiment for a series of SO2 assimilation tests for the Raikoke eruption with the CAMS system which assess the impact of assimilating SO2 layer height data (V3.1 FP_ILM). In LH100 (hhtm) SO2 Layer Height data produced with FP_ILM (V3.1) were assimilated with SO2 background error standard deviation values of 1e-7 kg/kg and horizontal background error correlation length scale of 100 km.

Examples

Layer height experiment for a series of SO2 assimilation tests for the 2019 Raikoke eruption with the CAMS system which assess the impact of assimilating SO2 layer height data (V3.1 FP_ILM). In LH250 (hhtn) SO2 Layer Height data produced with FP_ILM (V3.1) were assimilated with SO2 background error standard deviation values of 1e-7 kg/kg and horizontal background error correlation length scale of 250 km.

Examples

Layer height experiment for a series of SO2 assimilation tests for the 2019 Raikoke eruption with the CAMS system which assess the impact of assimilating SO2 layer height data (V3.1 FP_ILM). In LH50 (hhbu) SO2 Layer Height data produced with FP_ILM (V3.1) were assimilated with SO2 background error standard deviation values of 1e-7 kg/kg and horizontal background error correlation length scale of 50 km.

Examples

Layer height experiment for a series of SO2 assimilation tests for the 2019 Raikoke eruption with the CAMS system which assess the impact of assimilating SO2 layer height data (V3.1 FP_ILM). In LHexp (hgze) SO2 Layer Height data produced with FP_ILM (V3.1) were assimilated with SO2 background error standard deviation values of 0.7e-7 kg/kg and horizontal background error correlation length scale of 100 km.

Examples

Probabilistic 15-day TCo1279L137 forecast with CY49R1.1. 8 ENS members. Control for the nudged experiments. 00/12UTC start from 1 December 2024 to 28 February 2025.

Examples

Probabilistic 15-day TCo1279L137 forecast with CY49R1.1. 8 ENS members. Control for the nudged experiments. 00/12UTC start from 1 July 2024 to 12 November 2024.

Examples

Probabilistic 15-day TCo1279L137 forecast with CY49R1.1. 8 members. Vorticity and virtual temperature below tropopause nudged to equivalent members from model level AIFS-CRPS ML model for total wavenumbers <21. 00/12UTC start from 1 July 2024 to 30 September 2024. Only perturbed forecasts should be analysed.

Examples