Coxon, G. et al
DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data
Cite this dataset as:
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
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This dataset is available under the terms of the Open Government Licence
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wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/d770b12a-3824-4e40-8da1-930cf9470858
https://doi.org/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.
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.
Publication date: 2019-08-14
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
OSGB 1936 / British National Grid
Temporal information
Temporal extent
1961-01-01 to 2015-12-31
Provenance & quality
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.
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.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
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
© Natural Environment Research Council
© University of Bristol
Citations
Hooftman, D.A.P., Bullock, J.M., Jones, L., Eigenbrod, F., Barredo, J.I., Forrest, M., Kindermann, G., Thomas, A., & Willcock, S. (2022). Reducing uncertainty in ecosystem service modelling through weighted ensembles. Ecosystem Services, 53, 101398. https://doi.org/10.1016/j.ecoser.2021.101398
Supplemental information
Model code
Correspondence/contact details
Authors
Freer, J.
University of Bristol
Lane, R.
University of Bristol
Dunne, T.
University of Bristol
Knoben, W.J.M.
University of Bristol
Howden, N.J.K.
University of Bristol
Quinn, N.
Fathom Global
Wagener, T.
University of Bristol
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/L010399/1
Last updated
14 March 2024 15:46