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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: weather@home2 (climate model) driving data [MaRIUS-G2G-WAH2-daily]
(MaRIUS-G2G-WAH2-daily)

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https://doi.org/10.5285/f6cac471-7d92-4e6d-be8a-9f7887143058
This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2005). 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.
Publication date: 2018-03-09
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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
1900-01-01    to    2099-12-30

Provenance & quality

The 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 the weather@home2 bias-corrected precipitation and potential evaportation (Guillod et al. 2018; http://dx.doi.org/10.5285/0cea8d7aca57427fae92241348ae9b03). 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: weather@home2 (climate model) driving data [MaRIUS-G2G-WAH2-daily]. NERC Environmental Information Data Centre. https://doi.org/10.5285/f6cac471-7d92-4e6d-be8a-9f7887143058

Citations

Kay, A. L., Bell, V. A., Guillod, B. P., Jones, R. G., & Rudd, A. C. (2018). National-scale analysis of low flow frequency: historical trends and potential future changes. Climatic Change, 147(3–4), 585–599 https://doi.org/10.1007/s10584-018-2145-y
Bell, V. A., Kay, A. L., 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. Geoscience Data Journal, 5(2), 63–72. https://doi.org/10.1002/gdj3.55

Supplemental information

Guillod, B.P.; Jones, R.G.; Kay, A.L.; Massey, N.R.; Sparrow, S.; Wallom, D.C.H.; Wilson, S.S. (2017): Managing the Risks, Impacts and Uncertainties of drought and water Scarcity (MaRIUS) project: Large set of potential past and future climate time series for the UK from the weather@home2 model . Centre for Environmental Data Analysis, 2018.
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

Vicky Bell
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
 enquiries@ceh.ac.uk

Authors

Bell, V.A.
Centre for Ecology & Hydrology
Rudd, A.C.
Centre for Ecology & Hydrology
Kay, A.L.
Centre for Ecology & Hydrology
Davies, H.N.
Centre for Ecology & Hydrology

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

Topic categories
inlandWaters
INSPIRE theme
Hydrography
Keywords
Catchment , drought , G2G , Great Britain , Grid-to-Grid , Hydrology , Modelling , River flow
Funding
Natural Environment Research Council Award: NE/L010208/1
Last updated
08 February 2024 17:26