Datasets
Interval/period: Sun, 01/01/1950 - Thu, 12/31/2099
Interval/period: Mon, 01/01/1979 - Mon, 12/31/2018
noDropsonde experiment (other all usual observation types assimilated) for Observing System Experiment (OSE) looking at ARs affecting western USA DeHaan et al (2023). Experiment from 2019-01-28 to 2019-04-30, control is h4qi.
Examples
retrieve, class=rd, stream=lwda, expver=h4ss, type=fc, levtype=pl, levellist=250, param=131, date=2019-01-30, time=00:00:00, step=0/12/24/48, target='output.grib'Forecast fields for u-wind @250 hPa, step gives forecast range in hours
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noDropsonde experiment (other all usual observation types assimilated) for Observing System Experiment (OSE) looking at ARs affecting western USA DeHaan et al (2023, WAF, submitted). Experiment from 2020-01-20 to 2020-04-28, control is hd8r.
Examples
retrieve, anoffset=9, class=rd, date=2020-01-20, expver=hd8r, levtype=sfc, step=0/12/24/48, param=137.128, stream=lwda, time=00:00:00, type=fc, target="output.grib"Forecast fields of integrated water vapour, step gives forecast range in hours
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Interval/period: Sun, 01/01/1950 - Sat, 05/09/2026
Interval/period: Mon, 01/01/1979 - Sun, 02/01/2026
ECLand offline surface model (CY49R1) run forced by ERA5 reanalysis with CAMAFLOOD activated. For use in ML land emulation experiments.
Examples
retrieve, class=rd, date=2010-01-01, expver=i6aj, levtype=sfc, param=swvl1, stream=oper, time=00:00:00, type=an, target="swvl1_2010_01_01_00.grib"Extracting a single soil moisture field, type=an
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ECLand offline surface model (CY49R1) run forced by ERA5 reanalysis with CAMAFLOOD activated. For use in ML land emulation experiments.
Examples
retrieve, class=rd, date=2010-01-01, expver=i8ki, levtype=sfc, param=swvl1, stream=oper, time=00:00:00, type=an, target="swvl1_2010_01_01_00.grib"Extracting a single soil moisture field, type=an
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ecLand offline surface model (CY49R2) run forced by ERA5 reanalysis. For use in ML land emulation experiments.
Examples
retrieve, class=rd, stream=oper, expver=isc8, type=an, levtype=sfc, param=swvl1, date=2000-01-01, time=00:00:00, step=24, target='swvl1_2000_01_01_00.grib'Extracting a single soil moisture field, type=an
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ecLand offline surface model (CY49R2) run forced by ERA5 reanalysis. For use in ML land emulation experiments.
Examples
retrieve, class=rd, stream=oper, expver=iscb, type=an, levtype=sfc, param=swvl1, date=2000-01-01, time=00:00:00, step=24, target='swvl1_2000_01_01_00.grib'Extracting a single soil moisture field, type=an
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This dataset contains parameters from 24-month extended-seasonal reforecasts using the ECMWF seasonal forecast system 5 (SEAS5, Johnson et al, 2019). The reforecasts are intialised on 01-May and 01-November with 25 ensemble members and cover the period 1981-2024. Note that these forecasts are not real-time operational products; rather, they are experimental and generated as part of the ASPECT project (https://www.aspect-project.eu).
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The dataset contains the ECMWF Clear Air turbulence (CAT) parameter (units of EDR) on model levels for the SOUTHTRACK flight days. For the different flight days the CAT parameter is produced hourly (step 1 to 24)
Examples
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ERA-Interim/Land is a global reanalysis of land-surface parameters from 1979-2010 at 80 km spatial resolution. It was produced with a recent version of the HTESSEL land-surface model using atmospheric forcing from ERA-Interim, with precipitation adjustments based on GPCP v2.1.
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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).
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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 LULC and climatological LAI 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 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.
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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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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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