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The dataset provides bioclimatic indicators derived from CMIP5 climate projections at 1 km x 1 km resolution for selected regions; Europe, Northern Brazil and Central Africa. This comprehensive set of bioclimatic indicators is specifically relevant for applications within the biodiversity and ecosystem services community.

calendar_today Interval/period: Sun, 01/01/1950 - Thu, 12/31/2099

This dataset provides a historical reconstruction of bioclimatic indicators at 1 x 1 km resolution for Europe, Northern Brazil and Central Africa. These bioclimate indicators describe how the climate affects ecosystems, the services they deliver, and nature’s biodiversity. They are specifically relevant for applications within the biodiversity and ecosystem services community.

calendar_today 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

calendar_today Interval/period: N/A

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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E-OBS is a daily gridded land-only observational dataset over Europe. The blended time series from the station network of the European Climate Assessment & Dataset (ECA&D) project form the basis for the E-OBS gridded dataset. All station data are sourced directly from the European National Meteorological and Hydrological Services (NMHSs) or other data holding institutions.

calendar_today Interval/period: Sun, 01/01/1950 - Sat, 05/09/2026

The Earth’s Radiation Budget (ERB) represents the overall balance between incoming and outgoing radiant energy at the Earth’s top-of-the-atmosphere. This Essential Climate Variable is the primary forcing of the climate system and is therefore a fundamental quantity to be monitored to understand the Earth’s climate and its variability. The Earth’s Radiation Budget comprises of the quantification of the incoming radiation from the Sun and the outgoing reflected shortwave and emitted longwave radiation.

calendar_today 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

calendar_today Interval/period: N/A

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

calendar_today Interval/period: N/A

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

calendar_today Interval/period: N/A

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 ...

calendar_today Interval/period: N/A

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 ...

calendar_today Interval/period: N/A

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

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open_in_newview in Open Charts