f710bed1-e564-47bf-b82c-4c2a2fe2810e 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 2025-11-13T16:26:12 UK GEMINI 2.3 OSGB 1936 / British National Grid Historic reconstructions of daily river flow for 303 UK catchments (1891-2015) 2018-03-12 publication 2018-02-23 creation https://catalogue.ceh.ac.uk/id/f710bed1-e564-47bf-b82c-4c2a2fe2810e 10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e doi: Smith, K.A., Tanguy, M., Hannaford, J., Prudhomme, C. (2018). Historic reconstructions of daily river flow for 303 UK catchments (1891-2015). NERC Environmental Information Data Centre 10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA) (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK. These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). The data are provided in two formats to help the user account for uncertainty: (1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. (2) a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members. Full details about this dataset can be found at https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e Smith, K. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Smith, K.A. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1060-9103 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 Tanguy, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-1516-6834 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 Hannaford, J. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5256-3310 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 Prudhomme, C. European Centre for Medium Range Weather Forecasts enquiries@ceh.ac.uk https://orcid.org/0000-0003-1722-2497 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner notPlanned Hydrography theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication drought water scarcity catchment river flow GEMET - Concepts, version 4.1.3 2019-01-28 creation United Kingdom GeoNames 2006-01-01 creation Historic Droughts Drought inventory Drought catalogue Discharge GR4J Uncertainty Reconstructions otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions If you reuse this data, you should cite: Smith, K.A., Tanguy, M., Hannaford, J., Prudhomme, C. (2018). Historic reconstructions of daily river flow for 303 UK catchments (1891-2015). NERC Environmental Information Data Centre https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e textTable 100 English utf8 inlandWaters 1891-01-01 2015-11-30 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/f710bed1-e564-47bf-b82c-4c2a2fe2810e.zip Supporting information Supporting information available to assist in re-use of this dataset information https://catalogue.ceh.ac.uk/datastore/eidchub/f710bed1-e564-47bf-b82c-4c2a2fe2810e Download the data Download a copy of this data fileAccess 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 GR4J model (v 1.0.2) was run over the calibration period (1982-2014) using 500,000 Latin Hypercube Sampled model parameter sets. These model parameters were assessed against observations from the National River Flow Archive (NRFA). For two catchments (the Thames at Kingston, and the Lea at Feildes Weir) the model was also calibrated against naturalised flows. The model was calibrated using a multi-objective approach comprising of 6 evaluation metrics: Nash Sutcliffe Efficiency (NSE), NSE on log flows (log NSE), Mean Absolute Percent Error (MAPE), Absolute Percent Bias (PBIAS), Absolute Percent Error in Mean Annual Minimum flows over a 30 day accumulation period (MAM30), and Absolute Percent Error in the flow exceeded 95% of the time (Q95). The 500,000 model runs were then ranked by each evaluation metric, the ranks were summed, and the runs were reordered according to this final rank. Finally, in order to prevent uneven trade-offs between metrics, the runs were re-ordered according to thresholds of acceptability. Reconstructed flow timeseries were then run for the top 500 ranking model parameter sets, using PET (Potential Evapotranspiration) (Tanguy et al., 2017: doi https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c), and reconstructed daily rainfall data, provided by the UK Met Office. The modelled data, and the supporting metadata files, were exported from the R software programme as comma separated value files (.csv), and ingested into the EIDC in this format.