d966ae7f-a29b-4c57-835d-f4efd0d65c88 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:20:15 UK GEMINI 2.3 OSGB 1936 / British National Grid 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 2023-03-07 publication https://catalogue.ceh.ac.uk/id/d966ae7f-a29b-4c57-835d-f4efd0d65c88 10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88 doi: 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 10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88 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 Chan, W. University of Reading wilson.chan@pgr.reading.ac.uk https://orcid.org/0000-0003-4296-3203 ORCID record 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. information author Arnell, N. University of Reading n.w.arnell@reading.ac.uk author Darch, G. Anglian Water gdarch@anglianwater.co.uk author Facer-Childs, K. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Shepherd, T. University of Reading theodore.shepherd@reading.ac.uk author Tanguy, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author van der Wiel, K. Royal Netherlands Meteorological Institute (KNMI) karin.van.der.wiel@knmi.nl author Chan, W. University of Reading wilson.chan@pgr.reading.ac.uk https://orcid.org/0000-0003-4296-3203 ORCID record 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. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Reading wilson.chan@pgr.reading.ac.uk owner Hydrography theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication climate change hydrology model GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology Modelling Great Britain large ensemble otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 textTable English utf8 inlandWaters 2030-01-01 2154-12-25 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/d966ae7f-a29b-4c57-835d-f4efd0d65c88 Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/d966ae7f-a29b-4c57-835d-f4efd0d65c88.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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).