Datasets
Coupled 32-day experiment, 51 member ensemble, Tco319L137. Start dates covering extended winters 2020/2023, starting on 1st Nov up to 24 April, 1 week apart.
Examples
retrieve, class=rd, stream=enfh, expver=idlq, type=pf, number=1, levtype=sfc, param=2t, hdate=20201101, date=20231101, time=00:00:00, step=24, target='output.grib'Interval/period: N/A
The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of innovative climate information on multi-decadal timescales, at scales at which the impacts of climate change are observed.
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This is an global forecast experiment for Deltares use case in DestinE (DE370a). It covers the period from 16/07/2023 to 28/07/2023.
Examples
retrieve, class=rd, stream=oper, expver=idev, type=fc, levtype=sfc, param=2t, date=2023-07-16/to/2023-07-28, time=00:00:00, step=0/to/120, target='output.grib'Download 2m temperature
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This is an global forecast experiment for Deltares use case in DestinE (DE370a). It covers the period of storm Chiara, with initial dates from 03/02/2020 to 16/02/2020.
Examples
retrieve, class=rd, stream=oper, expver=icrv, type=fc, levtype=sfc, param=2t, date=2020-02-03/to/2020-02-16, time=00:00:00, step=0/to/120, target='output.grib'Download 2m temperature
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Model-level data of operational forecasts reproduced with Cy47R3 experiment suite. Parameters 103 and 104 are convective mass fluxes of rain and snow, and parameters 101 and 102 are large-scale mass fluxes of rain and snow.
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Deterministic 10-day TCo1279L137 forecast with CY49R1.1 with nudging to model level version of AIFS. 00 UTC starts from 1 June - 30 November 2024.
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Deterministic 10-day TCo1279L137 forecast with CY49R1.1 with nudging to model level version of AIFS. 00 UTC starts from 1 Dec 2024 - 31 May 2025.
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Deterministic 10-day TCo1279L137 forecast with CY49R1.1 with nudging to model level version of AIFS. 00 UTC starts from 1 June 2025 onwards.
Examples
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Deterministic 10-day TCo1279L137 forecast with CY49R1.1. Control for nudged experiments, before operational IFS forecast became CY49R1 from mid-November 2024. 00 UTC start from 1 January 2024 to 14 August 2025.
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The objective of the EU-funded DEMETER project is to develop a well-validated European coupled multi-model ensemble forecast system for reliable seasonal to inter annual prediction. Six comprehensive European global coupled atmosphere-ocean models are being installed at ECMWF, those of: ECMWF, Météo-France, LODYC, Met Office, MPI, INGV, INM-HIRLAM and CERFACS.
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Divergence of horizontal air flow or winds is a measure of the spreading out of air at a particular point. Divergence is +ve where air spreads out; –ve where air converges...
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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). 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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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)
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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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