Bell, V.A.; Rudd, A.C.; Kay, A.L.; Davies, H.N.
Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-daily]
(MaRIUS-G2G-MORECS-daily)
Cite this dataset as:
Bell, V.A.; Rudd, A.C.; Kay, A.L.; Davies, H.N. (2018). Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-daily]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2
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wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2/G2G_MORECS_flow_1960_2015.csv
https://doi.org/10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2
This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/).
The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).
The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).
Publication date: 2018-03-09
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
1960-01-01 to 2015-12-30
Provenance & quality
The river flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.
Licensing and constraints
Licence terms and conditions apply
Cite this dataset as:
Bell, V.A.; Rudd, A.C.; Kay, A.L.; Davies, H.N. (2018). Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-daily]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2
Citations
Bell, V. A., Kay, A., Rudd, A. C., Davies, H. N. (2018). The MaRIUS‐G2G datasets: Grid‐to‐Grid model estimates of flow and soil moisture for Great Britain using observed and climate model driving data. https://doi.org/10.1002/gdj3.55
Rudd, A. C., Bell, V. A., & Kay, A. L. (2017). National-scale analysis of simulated hydrological droughts (1891–2015). Journal of Hydrology, 550, 368–385. https://doi.org/10.1016/j.jhydrol.2017.05.018
Supplemental information
Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350.
Correspondence/contact details
Bell, V.
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
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
Funding
Natural Environment Research Council Award: NE/L010208/1
Last updated
21 March 2025 13:34