Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-3247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Aug 2019
Research article |
| 08 Aug 2019
| 08 Aug 2019
A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Lucy J. Barker
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Maliko Tanguy
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Simon Parry
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Shaun Harrigan
European Centre for Medium-Range Weather Forecasts, Shinfield Road,
Reading, RG2 9AX, UK
Tim P. Legg
Met Office, FitzRoy Road, Exeter, Devon, EX1 3PB, UK
Christel Prudhomme
European Centre for Medium-Range Weather Forecasts, Shinfield Road,
Reading, RG2 9AX, UK
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Department of Geography, Loughborough University, Loughborough,
LE11 3TU, UK
Jamie Hannaford
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Irish Climate Analysis and Research UnitS, Department of Geography,
Maynooth, Ireland
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- Added value of seasonal hindcasts to create UK hydrological drought storylines W. Chan et al. 10.5194/nhess-24-1065-2024
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Latest update: 29 Jun 2024
Short summary
This paper describes the multi-objective calibration approach used to create a consistent dataset of reconstructed daily river flow data for 303 catchments in the UK over 1891–2015. The modelled data perform well when compared to observations, including in the timing and the classification of drought events. This method and data will allow for long-term studies of flow trends and past extreme events that have not been previously possible, enabling water managers to better plan for the future.
This paper describes the multi-objective calibration approach used to create a consistent...
