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Atmosphere only forecast experiment with updated observed sea ice concentration from the ECMWF operational analysis. 10-day high resolution (TCo1279) forecast experiments performed with Cy46r1 of the ECMWF-IFS were initialised at 0z for DJFM2017/18.

Examples

retrieve, class=rd, stream=oper, expver=hmgx, type=fc, levtype=sfc, param=2t, date=2017-12-01, time=00:00:00, step=24, target='output.grib'

retrieve 2m temperature at 24 hours into the forecast

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Atmosphere only forecast experiment with sea ice concentration persisted from the ECMWF operational analysis. 10-day high resolution (TCo1279) forecast experiments performed with Cy46r1 of the ECMWF-IFS were initialised at 0z for DJFM2017/18.

Examples

retrieve, class=rd, stream=oper, expver=hdvq, type=fc, levtype=sfc, param=2t, date=2017-12-01, time=00:00:00, step=24, target='output.grib'

retrieve 2m temperature at 24 hours into the forecast

calendar_today Interval/period: N/A

Coupled atmosphere-ice-ocean forecast experiment. SSTs partially coupled in the extratropics. 10-day high resolution (TCo1279) forecast experiments performed with Cy46r1 of the ECMWF-IFS were initialised at 0z for DJFM2017/18.

Examples

retrieve, class=rd, stream=oper, expver=hdwl, type=fc, levtype=sfc, param=2t, date=2017-12-01, time=00:00:00, step=24, target='output.grib'

retrieve 2m temperature at 24 hours into the forecast

calendar_today Interval/period: N/A

High-resolution forecast experiment

Examples

retrieve, class=rd, stream=oper, expver=i4ql, type=fc, levtype=sfc, param=2t, date=2023-10-11/to/2023-10-29, time=00:00:00, step=0/1/2/3/4, area=80/-20/20/30, grid=0.05/0.05, target='output.grib'

Download 2m temperature

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This dataset contains parameters from four-month long seasonal reforecasts using ECMWF IFS cycle CY49R1 v-version 4 covering the period 1993-2019 and forced with datasets for Leaf Area Index (LAI) and Land Use/Land Cover (LULC) developed in the CONFESS project (https://confess-h2020.eu). The reforecasts uses time varying LAI and LULC based on version climate.v020_ESACCI_LAI of the IFS climate fields and can be compared against the CONTROL experiment (i14x) that uses climatological LAI and fixed LULC.

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This dataset provides output from a 10-member ensemble global atmosphere simulation covering the period 1980 to 2023 produced with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using a Tco399 L137 configuration of the IFS, which has an average horizontal grid spacings of ∼28 km. The simulation is constrained by time-evolving external climate forcings, including observed greenhouse gas and aerosol concentrations.

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This dataset provides output from a 10-member ensemble global atmosphere simulation covering the period 1980 to 2023 produced with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using a Tco399 L137 configuration of the IFS, which has an average horizontal grid spacings of ∼28 km. The simulation is constrained by time-evolving external climate forcings, including observed greenhouse gas and aerosol concentrations.

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This dataset provides output from a single member global atmosphere simulation covering the period 1980 to 2023 produced with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using a Tco399 L137 configuration of the IFS, which has an average horizontal grid spacings of ∼9 km. The simulation is constrained by time-evolving external climate forcings, including observed greenhouse gas and aerosol concentrations.

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This dataset provides output from a 10-member ensemble global atmosphere reference simulation covering the period 1980 to 2023 produced with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using a Tco399 L137 configuration of the IFS, which has an average horizontal grid spacings of ∼28 km.

calendar_today Interval/period: N/A

This dataset provides output from a single member global atmosphere reference simulation covering the period 1980 to 2023 produced with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using a Tco1279 L137 configuration of the IFS, which has an average horizontal grid spacings of ∼9 km.

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These charts show areas where anomalous 2 m maximum temperatures are likely to occur. These charts are based on the ECMWF ensem ...

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These charts show areas where anomalous 2 m minimum temperatures are likely to occur. These charts are based on the ECMWF ensem ...

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open_in_newview in Open Charts

These charts show areas where anomalous 2 m temperatures are likely to occur. These charts are based on the ECMWF ensemble forecas ...

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These charts show areas where anomalous CAPE are likely to occur.

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These charts show areas where anomalous CAPE Shear are likely to occur.

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This chart aims to highlight areas where unusually anomalous 2 metre temperatures are ...

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These charts aim to provide pointers to areas where anomalous precipitation amounts are likely to occur during the 24 hour, 2 day, 5 day or 10 day period previous to the selected validity time...

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open_in_newview in Open Charts

This chart aims to highlight areas where unusually anomalous precipitation is likely to ...

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open_in_newview in Open Charts

These charts show areas where anomalous significant wave heights are likely to occur. These charts are based on the ECMWF ense ...

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These charts show areas where anomalous snow fall is likely to occur. These charts are based on the ECMWF ensemble for ...

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These charts aim to provide pointers to areas where anomalous values of water vapour flux are likely to occur based on the ECMWF en ...

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These charts show areas where anomalous 10 m wind gusts are likely to occur. These charts are based on the ECMWF ensemble fore ...

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open_in_newview in Open Charts

These charts show areas where anomalous 10 m wind speeds are likely to occur. These charts are based on the ECMWF ensemble for ...

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open_in_newview in Open Charts

Cumulative Density Functions (CDF) describes the distribution of the values of a variable (e.g.temperature) as forecast by the ENS ensemble members. The CDF curve shows the proportion (in %) of ENS members...

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open_in_newview in Open Charts

Meteograms show a probabilistic interpretation of the ENS forecasts for specific locations using a box and whisker plot. It shows the time evolution of the distribution of several meteorological parameters on a single diagram...

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open_in_newview in Open Charts