Date (Publication)

2015-06-01

Identifier

CEH:EIDC: / 1404983431078

Identifier

https://catalogue.ceh.ac.uk/id/986d3df3-d9bf-42eb-8e18-850b8d54f37b

Identifier

doi: / 10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b

Other citation details

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

Maintenance and update frequency

notPlanned Not planned

GEMET - INSPIRE themes, version 1.0

• Hydrography

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is made available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

Other constraints

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

Spatial representation type

textTable Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Inland waters

End date

2014-11-28

Unique resource identifier

WGS 84

Distribution format

• Comma-separated values (CSV) ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

Supporting documents describing the dataset

Hierarchy level

dataset Dataset

Other

dataset

Statement

The 8-parameter model is based on the Ph.D work of Alex Leathard (unpublished) at Newcastle University.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.

File identifier

986d3df3-d9bf-42eb-8e18-850b8d54f37b XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-11-13T16:27:01

Metadata standard name

UK GEMINI

Metadata standard version

2.3