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Chan, W.; Arnell, N.; Darch, G.; Facer-Childs, K.; Shepherd, T.; Tanguy, M. ; van der Wiel, K.

Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data

https://doi.org/10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88 Cite this dataset
This dataset contains GR6J (which stands for modèle du Génie Rural à 6 paramètres Journalier) modelled daily river flow time series for 95 river catchments in Great Britain and driving data (precipitation and potential evapotranspiration calculated from temperature) from the EC-Earth Single Model Initial Condition Large Ensemble (SMILE) climate model. The large ensemble is based on the EC-Earth Global Climate Model (GCM) v2.3 and is run for present day (equivalent to present day climate with observed global mean surface temperature for the period 2011-2015) and pre-industrial plus 2°C and 3°C global warming conditions. In total, they make up 2000 years of data for each global warming level (i.e. 16 ensemble members x 25 realizations x 5 years = 2000 years). All ensemble members are pooled to form a continuous 2000-year time series of meteorological input and daily modelled river flows.
Publication date: 2023-03-07

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid

Temporal information

Temporal extent
2030-01-01    to    2154-12-25

Provenance & quality

The GR6J hydrological model (which stands for modèle du Génie Rural à 6 paramètres Journalier) is used to simulate river flows at 95 river catchments driven by the pooled continuous 2000-years input data (precipitation and potential evapotranspiration) from the EC-Earth large ensemble. Simulated river flows is obtained from using the best performing model run for each river catchment to drive GR6J hydrological models for each catchment.
This dataset is produced as part of a PhD studentship supported by the Natural Environment Research Council via the SCENARIO Doctoral Training Partnership (grant no. NE/S007261/1).

Correspondence/contact details

Chan, W.
University of Reading
UNITED KINGDOM
 wilson.chan@pgr.reading.ac.uk

Authors

Chan, W.
University of Reading
ORCID iD icon https://orcid.org/0000-0003-4296-3203
Arnell, N.
University of Reading
Darch, G.
Anglian Water
Facer-Childs, K.
UK Centre for Ecology & Hydrology
Shepherd, T.
University of Reading
Tanguy, M.
UK Centre for Ecology & Hydrology
van der Wiel, K.
Royal Netherlands Meteorological Institute (KNMI)

Other contacts

Rights holder
University of Reading
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
inlandWaters
INSPIRE theme
Hydrography
Keywords
climate change , Great Britain , hydrology , Hydrology , large ensemble , model , Modelling
Funding
Natural Environment Research Council Award: NE/S007261/1
Last updated
27 February 2024 16:21
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View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

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This dataset is available under the terms of the Open Government Licence

Download the data Supporting documentation

CITE AS: Chan, W.; Arnell, N.; Darch, G.; Facer-Childs, K.; Shepherd, T.; Tanguy, M. ; van der Wiel, K. (2023). Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88