BGS Hosted Metadata
Hydrological modelling and simulation data for the River Trent at Colwick under climate change
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 The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002.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
Simple
- Date (Publication)
- 2015-06-01
- Citation identifier
- CEH:EIDC: / 1404983431078
- Citation identifier
- https://catalogue.ceh.ac.uk/id/986d3df3-d9bf-42eb-8e18-850b8d54f37b
- Citation 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
- Point of contact
-
Organisation name Individual name Electronic mail address Role Newcastle University Byers, E.A.
Point of contact Newcastle University Byers, E.A.
Author Newcastle University Leathard, A.
Author Newcastle University O'Donnell, G.M.
g.m.o' donnell@ncl.ac.uk
Author University of Oxford Hall, J.W.
Author Newcastle University Amezaga, J.M.
Author NERC Environmental Information Data Centre Publisher NERC EDS Environmental Information Data Centre Custodian
- Maintenance and update frequency
- Not planned
-
GEMET - INSPIRE themes, version 1.0
-
-
Hydrography
-
-
GEMET - Concepts, version 4.1.3
-
GeoNames
- Keywords
-
-
River Trent
-
- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- 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
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
-
- Inland waters
- End date
- 2014-11-28
))
- Unique resource identifier
- WGS 84
- Distribution format
-
Name Version Comma-separated values (CSV)
- Distributor contact
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/data/986d3df3-d9bf-42eb-8e18-850b8d54f37b Download the data
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/sd/986d3df3-d9bf-42eb-8e18-850b8d54f37b.zip Supporting information
- Hierarchy level
- Dataset
- Other
-
dataset
Conformance result
- Title
-
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
- Date (Publication)
- 2010-12-08
- 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.
Metadata
- File identifier
- 986d3df3-d9bf-42eb-8e18-850b8d54f37b XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
-
dataset
- Date stamp
- 2025-11-13T16:27:01
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
- Metadata author
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
)))
