Datasets

Ensemble forecast runs produced by the ECMWF Artificial Intelligence Forecasting System (AIFS) Ensemble model.

More information can be found on the implementation page. 

Product description

On 12 May 2026, a new forecast stream will be produced by ECMWF's operational Artificial Intelligence Forecasting System ensemble model (AIFS ENS).

The new forecast stream is for wave forecast runs, marking ECMWF's first operational data-driven wave forecasts.

Product description

Single forecast runs produced by the ECMWF Artificial Intelligence Forecasting System (AIFS) deterministic model.

On 12 May 2026, a new forecast stream will be produced by ECMWF's operational Artificial Intelligence Forecasting System deterministic model (AIFS Single).

The new forecast stream is for wave forecast runs, marking ECMWF's first operational data-driven wave forecasts.

Product description

Ensemble (ENS) of forecasts providing an estimate of the reliability of a single forecast. Currently there are 50 perturbed members in the ensemble.

ENS offers  "High Frequency products"  until step 144:

This licence provides access to ECMWF interactive ecCharts tool to visualise analysis and forecast products  Please note that access to the ecCharts is for End User use only (internal).  

ECMWF ecCharts web service is available and we are pleased to be able to offer the service for evaluation to customers of ECMWF's web products.

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):

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:

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.

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

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 December 2024 to 28 February 2025. Only perturbed forecasts should be analysed.

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 October 2024 to 12 November 2024. Only perturbed forecasts should be analysed.

Examples

Four-month 15-member ensemble hind-casts initialised on 1st of October 1992-2020. Fully radiatively interactive ozone. produced by the hybrid linear ozone scheme. IFS cycle 47r1 used. Output for pressure-level and surface fields is 6-hourly.

Examples

Four-month 15-member ensemble hind-casts initialised on 1st of October 1992-2020. Ozone monthly-mean zonal-mean climatology used in radiation. IFS cycle 47r1 used. Output for pressure-level and surface fields is 6-hourly.

Examples

This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.

Examples