Datasets
This data set contains net fluxes at the surface, atmospheric mixing ratios at model levels, for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20).
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Each country's experiments can be accessed via the links below:
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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.
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The reliability diagram shows the reliability of the ECMWF seasonal forecast system (SEAS5) with ...
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This chart shows the Relative Operating Characteristics (ROC) diagram for the three-month ...
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This chart shows the spatial variation in the Relative Operating Characteristics (ROC) skill ...
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The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...
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The 850 hPa level is usually just above the boundary layer and at this level the day-night variation in temperature is generally negligible...
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This chart shows 7-day mean anomalies of 500hPa geopotential height from the ECMWF Sub-seasonal ...
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500-1000 hPa thickness is a measure of the mean temperature of a column of the atmosphere between these pressure levels and can be used to distinguish between warm and cold air masses and...
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This is an extension of the i4ql experiment covering the period 2025-07-27 to 2023-08-10
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retrieve, class=rd, stream=oper, expver=abcd, type=fc, levtype=sfc, param=2t, date=2000-01-01, time=00:00:00, step=24, target='output.grib' retrieve, class=rd, stream=oper, expver=abcd, type=fc, levtype=sfc, param=2t, date=2000-01-01, time=00:00:00, step=24, target='output.grib'Interval/period: N/A
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
retrieve, class=rd, stream=oper, expver=hlxm, type=an, levtype=sfc, param='tcco', date=2021-08-01, time=00:00:00, step=0, target='output.grib'Retrieval of total column CO analysis
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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
retrieve, class=rd, stream=oper, expver=hmib, type=an, levtype=sfc, param='tcco', date=2021-08-01, time=00:00:00, step=0, target='output.grib'Retrieval of total column CO analysis
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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
retrieve, class=rd, stream=oper, expver=hhu5, type=fc, levtype=sfc, param=210126, date=2019-06-23, time=00:00:00, step=24, target='output.grib'Retrieval of total column SO2 forecast at step 24
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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.
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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
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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
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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
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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.
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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.
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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.
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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.
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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.
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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.
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