Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 8
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.
https://doi.org/10.5194/hess-23-3247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 8
Research article
 | 
08 Aug 2019
Research article |  | 08 Aug 2019

A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction

Katie A. Smith, Lucy J. Barker, Maliko Tanguy, Simon Parry, Shaun Harrigan, Tim P. Legg, Christel Prudhomme, and Jamie Hannaford

Supplement

https://doi.org/10.5194/hess-23-3247-2019-supplement

Data sets

Historic reconstructions of daily river flow for 303 UK catchments (1891–2015) K. A. Smith, M. Tanguy, J. Hannaford, and C. Prudhomme https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e

Historic Gridded Potential Evapotranspiration (PET) based on temperature-based equation McGuinness-Bordne calibrated for the UK (1891–2015) M. Tanguy, C. Prudhomme, K. Smith, and J. Hannaford https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c

Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961–2010 for 303 UK catchments (1891–2015) L. J. Barker, K. A. Smith, C. Svensson, M. Tanguy, and J. Hannaford https://doi.org/10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9

UK Hydrological Drought Explorer Centre for Ecology & Hydrology https://shiny-apps.ceh.ac.uk/hydro_drought_explorer/

UK Reconstructed Flow Data Explorer Centre for Ecology & Hydrology https://shiny-apps.ceh.ac.uk/reconstruction_explorer/

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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.
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