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The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed. It combines cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide global climate projections and impact-sector information on multi-decadal timescales (1990 to ~2050), at very high spatial resolutions (5 to 10 km).

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This catalogue entry provides daily and monthly global climate model data from Decadal Climate Predictions Project (DCPP) experiments, part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). The decadal data in the Climate Data Store (CDS) are a quality-controlled subset of the full DCPP.

calendar_today Interval/period: Sun, 01/01/1860 - Mon, 12/31/2300

This dataset provides daily and monthly fields of global sea surface temperature (SST) and sea ice surface temperature (IST) from 1982 to the present, using observations from multiple infrared and passive microwave satellite sensors. SST is a key driver of global weather and climate, affecting ocean-atmosphere interactions and driving climate variability.

calendar_today Interval/period: Fri, 01/01/1982 - Tue, 12/31/2024

ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate covering the period from January 1940 to present. It is produced by the Copernicus Climate Change Service (C3S) at ECMWF and provides hourly estimates of a large number of atmospheric, land and oceanic climate variables. The data cover the Earth on a 31km grid and resolve the atmosphere using 137 levels from the surface up to a height of 80km. ERA5 includes an ensemble component at half the resolution to provide information on synoptic uncertainty of its products.

calendar_today Interval/period: Sat, 01/01/1949 - Fri, 07/17/2026

The UERRA datasets contain reanalysis data of the atmosphere, the surface and near-surface as well as for the soil covering Europe. Essential climate variables are generated with the UERRA-HARMONIE and the MESCAN-SURFEX systems. UERRA-HARMONIE is a 3-dimensional variational data assimilation system, while MESCAN-SURFEX is a complementary surface analysis system.

calendar_today Interval/period: Thu, 10/18/2018 - Wed, 07/31/2019

The Comprehensive Upper-air Observation Network (CUON) dataset is designed
to contain all available observations from balloons ascents through the atmosphere.
The main geophysical variables are temperature, humidity, and wind speed and wind direction,
as functions of atmospheric pressure levels. The observation platforms include pilot balloons, radiosondes, and ozonesondes.
The main observation data sources are:
- the NOAA Integrated Global Radiosonde Archive (IGRA version 2),
- the NCAR Upper-Air Database (UADB), and

calendar_today Interval/period: Tue, 01/01/1901 - Tue, 12/31/2024

Control 48R1 experiment run at Tco199 for 46 days over 20 years starting on 12, 16 , 19, 23, 26 , 30 December and 2nd, 6th and 9th January 1999-2018.

Examples

retrieve, class=rd, stream=enfh, expver=igis, type=pf, number=1/to/4, levtype=sfc, param=2t, date=20191212, hdate=20091212, time=00:00:00, step=24, target='output.grib'

Retrieving 2-meter temperature of the hindcast starting on 12 December 2019 for all perturbed members.

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control (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 (no dropsonde experiment is hd6r).

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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This is a 4 month seasonal hindcast experiment with CY49R1 at TCo199 initialised form an open loop land-surface analysis.

Examples

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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'

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Control (i.e. all usual observation types assimilated) for aircraft Observing System Experiment (OSE) see Ingleby et al (2021), https://doi.org/10.1029/2020GL090699 . Experiment from 2019-01-28 to 2019-04-30, also used for 'atmospheric river' tests.

Examples

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Research forecast experiment produced with ECMWF IFS cycle 47R1, at TCo399 (25km), for the EUREC4A field campaign (15.01.2020-14.02.2020). Initialized from the hezu analysis, with fields saved on model levels (bit identical to hezu forecasts)

Examples

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This catalogue entry provides Regional Climate Model (RCM) data on single levels from a number of experiments, models, domains, resolutions, ensemble members, time frequencies and periods computed over several regional domains all over the World in the framework of the Coordinated Regional Climate Downscaling Experiment (CORDEX). The term "single levels" is used to express that the variables are 2D-matrices computed on one vertical level which can be surface (or a level close to the surface) or a dedicated pressure level in the atmosphere.

calendar_today Interval/period: Sun, 01/01/1950 - Fri, 12/31/2100

Coupled subsesaonal reforecasts (ENS-C) consisting of 10 perturbed members, each integrated for 46-days, starting on the first of each month between 2006 and 2023 for a total of 216 start dates. The atmospheric model is configured to use the cubic octahedral reduced Gaussian grid with 137 vertical levels and a horizontal resolution of Tco319. The atmosphere is coupled hourly to an eddy-permitting NEMO4-SI3 configuration, which uses 75 vertical levels in the ocean and the eORCA025 grid.

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Standalone ECMWF wave model CY46R1 forced by ERA5 hourly neutral 10m winds, surface air density, gustiness and sea ice fraction from 2010 to 2018. Native grid resolution is 14km, 36 directions, 36 frequencies. No wave data assimilation. Hourly output.

Examples

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Standalone ECMWF wave model CY46R1 forced by ERA5 hourly neutral 10m winds, surface air density, gustiness and sea ice fraction from 2019 to 2020. Native grid resolution is 14km, 36 directions,36 frequencies. No wave data assimilation. Hourly output.

Examples

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Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1979-1989). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1999-1999). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2000-2009). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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Standalone wave model CY47R1 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2010-2020). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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Standalone wave model CY47R3 forced by ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2015-2021). Native grid is Tco639 (18km), 36 directions, 36 frequencies. No wave data assimilation. Hourly output, many parameters.

Examples

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Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1980-1989). Native grid is Tco799 (14km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (1990-1999). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2000-2018). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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Standalone ecWAM wave model CY50R1 forced by corrected ERA5 hourly neutral 10m winds, air density, gustiness and sea ice fraction (2019-2023). Native grid is Tco799 (14km), 36 directions, 36 frequencies. Altimeter wave data assimilation,See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, Hourly output, many parameters.

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