Datasets

Single prediction that uses

HRES Direct model output Products offers "High Frequency products"  

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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