Byers, E.A.; Leathard, A.; O'Donnell, G.M.; Hall, J.W.; Amezaga, J.M.
Hydrological modelling and simulation data for the River Trent at Colwick under climate change
Cite this dataset as:
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
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This dataset is made available under the terms of the Open Government Licence
https://doi.org/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 The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002.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.
Publication date: 2015-06-01
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
… to 2014-11-28
Provenance & quality
The 8-parameter model is based on the Ph.D work of Alex Leathard (unpublished) at Newcastle University.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.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
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
Correspondence/contact details
Authors
Byers, E.A.
Newcastle University
Leathard, A.
Newcastle University
O'Donnell, G.M.
Newcastle University
Hall, J.W.
University of Oxford
Amezaga, J.M.
Newcastle University
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk