986d3df3-d9bf-42eb-8e18-850b8d54f37b 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 2025-11-13T16:27:01 UK GEMINI 2.3 WGS 84 Hydrological modelling and simulation data for the River Trent at Colwick under climate change 2015-06-01 publication 1404983431078 CEH:EIDC: https://catalogue.ceh.ac.uk/id/986d3df3-d9bf-42eb-8e18-850b8d54f37b 10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b doi: Byers, E.A., Leathard, A., O'Donnell, G.M., Hall, J.W., Amezaga, J.M. (2015). Hydrological modelling and simulation data for the River Trent at Colwick under climate change. NERC Environmental Information Data Centre 10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002. Each simulation is derived from one-hundred, 30-year time series of weather at the WG location 4400355 for Control, Low, Medium and High emissions scenarios for the 2020s, 2030s, 2040s, 2050s and 2080s time slices. The datasets include the relevant accompanying input WG data. Full details about this dataset can be found at https://doi.org/10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b Byers, E.A. Newcastle University e.a.byers@ncl.ac.uk pointOfContact Byers, E.A. Newcastle University e.a.byers@ncl.ac.uk author Leathard, A. Newcastle University alex.leathard@ncl.ac.uk author O'Donnell, G.M. Newcastle University g.m.o'donnell@ncl.ac.uk author Hall, J.W. University of Oxford director@eci.ox.ac.uk author Amezaga, J.M. Newcastle University jaime.amezaga@ncl.ac.uk 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 modelling climate change hydrology GEMET - Concepts, version 4.1.3 2019-01-28 creation United Kingdom GeoNames 2006-01-01 creation River Trent otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Byers, E.A., Leathard, A., O'Donnell, G.M., Hall, J.W., Amezaga, J.M. (2015). Hydrological modelling and simulation data for the River Trent at Colwick under climate change. NERC Environmental Information Data Centre https://doi.org/10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b textTable English utf8 inlandWaters 2014-11-28 -2.354 -0.615 52.681 53.792 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/986d3df3-d9bf-42eb-8e18-850b8d54f37b Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/986d3df3-d9bf-42eb-8e18-850b8d54f37b.zip Supporting information Supporting documents describing the 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 8-parameter model is based on the Ph.D work of Alex Leathard (unpublished) at Newcastle University. The model was set up and calibrated with data at Colwick on Trent (station 28009) from the period 1961-2002 using daily observed gauge data from CEH. Structural uncertainty and model calibration was performed by simulating 10,000 parameterisations selected by Latin hypercube sampling. Performance was evaluated using a 4-metric ranking comprising: the log transform flows of Nash-Sutcliffe Efficiency, and absolute difference between observed and simulated from the Q90, Q95, and Q99 percentile flows. This was done primarily to ensure good performance at low flows. Goodness-of-fit was also assessed at various periods of the historical record, including the drought of 1975-1976. The Model was run with outputs from the UKCP09 Weather Generator, by inputting 30-year time series for: 3 emsissions scenarios; time slices of Control, 2020s, 2030s, 2040s, 2050s, 2080s; 100 samples of each combination.