d770b12a-3824-4e40-8da1-930cf9470858 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 2025-11-13T16:19:16 UK GEMINI 2.3 OSGB 1936 / British National Grid DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data 2019-08-14 publication https://catalogue.ceh.ac.uk/id/d770b12a-3824-4e40-8da1-930cf9470858 10.5285/d770b12a-3824-4e40-8da1-930cf9470858 doi: Coxon, G., Freer, J., Lane, R., Dunne, T., Knoben, W.J.M., Howden, N.J.K., Quinn, N., Wagener, T., Woods, R. (2019). DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data. NERC Environmental Information Data Centre 10.5285/d770b12a-3824-4e40-8da1-930cf9470858 This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015. The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration). The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK. The dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis. MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. Full details about this dataset can be found at https://doi.org/10.5285/d770b12a-3824-4e40-8da1-930cf9470858 Coxon, G. University of Bristol Gemma.Coxon@bristol.ac.uk pointOfContact Coxon, G. University of Bristol Gemma.Coxon@bristol.ac.uk https://orcid.org/0000-0002-8837-460X 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 Freer, J. University of Bristol enquiries@ceh.ac.uk author Lane, R. University of Bristol enquiries@ceh.ac.uk author Dunne, T. University of Bristol enquiries@ceh.ac.uk author Knoben, W.J.M. University of Bristol enquiries@ceh.ac.uk author Howden, N.J.K. University of Bristol enquiries@ceh.ac.uk author Quinn, N. Fathom Global enquiries@ceh.ac.uk author Wagener, T. University of Bristol enquiries@ceh.ac.uk author Woods, R. University of Bristol enquiries@ceh.ac.uk https://orcid.org/0000-0002-5732-5979 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 Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian notPlanned Hydrography theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication flow drought river GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology Modelling Great Britain MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) DECIPHeR Uncertainty otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions © Natural Environment Research Council otherRestrictions © University of Bristol otherRestrictions If you reuse this data, you should cite: Coxon, G., Freer, J., Lane, R., Dunne, T., Knoben, W.J.M., Howden, N.J.K., Quinn, N., Wagener, T., Woods, R. (2019). DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data. NERC Environmental Information Data Centre https://doi.org/10.5285/d770b12a-3824-4e40-8da1-930cf9470858 textTable English utf8 inlandWaters 1961-01-01 2015-12-31 -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/d770b12a-3824-4e40-8da1-930cf9470858 Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/d770b12a-3824-4e40-8da1-930cf9470858.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 modelled flow data are output from the DECIPHeR hydrological model (Coxon et al, 2019; https://doi.org/10.5194/gmd-12-2285-2019). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and CHESS-PE (Robinson et al, 2016; https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7). DECIPHeR (V1) was run from 1961-2015 using 100,000 monte carlo model parameter sets. Model performance was evaluated over a 54 year timeseries (1962-2015) using a multi-objective approach comprising four evaluation metrics. The evaluation metrics were chosen to quantify the model’s ability to capture a range of hydrologic behaviour including maintaining overall water balance, capturing flow variability, reproducing low and high flows and the timing of flows. The top ‘multi-objective’ scoring 100 model simulations for each of the 1,366 gauges are supplied as daily river flow timeseries. Metadata comprising the model parameters and performance for the 100 ensemble members is also supplied to allow the user to interrogate the performance of the model and assist in the interpretation of the results. See supporting information document for more details.