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
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. Full details about this dataset can be found at https://doi.org/10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88
dataset
https://catalogue.ceh.ac.uk/datastore/eidchub/d966ae7f-a29b-4c57-835d-f4efd0d65c88
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https://data-package.ceh.ac.uk/sd/d966ae7f-a29b-4c57-835d-f4efd0d65c88.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/d966ae7f-a29b-4c57-835d-f4efd0d65c88
doi:
eng
inlandWaters
Hydrography
publication
2008-06-01
-8.648
1.768
60.861
49.864
2030-01-01
2154-12-25
publication
2023-03-07
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).
publication
2010-12-08
Comma-separated values (CSV)
If you reuse this data, you should cite: 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
University of Reading
https://orcid.org/0000-0003-4296-3203
name: ORCID record
description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
function: information
author
University of Reading
author
Anglian Water
author
author
University of Reading
theodore.shepherd@reading.ac.uk
author
author
Royal Netherlands Meteorological Institute (KNMI)
author
University of Reading
https://orcid.org/0000-0003-4296-3203
name: ORCID record
description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
function: information
pointOfContact
custodian
publisher
University of Reading
owner
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
function: information
pointOfContact
2025-03-21T12:33:57