Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3247-2019
https://doi.org/10.5194/hess-23-3247-2019
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

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Cited articles

Anderton, S., Ledbetter, R., and Prudhomme, C.: Understanding the performance of water supply systems during mild to extreme droughts, Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, 2015. 
Atkins: Thames Water Stochastic Resource Modelling: Stage 2&3 Report, Atkins, 2016. 
Bai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., and Liu, C.: Assessment of the Influences of Different Potential Evapotranspiration Inputs on the Performance of Monthly Hydrological Models under Different Climatic Conditions, J. Hydrometeorol., 17, 2259–2274, https://doi.org/10.1175/jhm-d-15-0202.1, 2016. 
Barker, L. J., Hannaford, J., Chiverton, A., and Svensson, C.: From meteorological to hydrological drought using standardised indicators, Hydrol. Earth Syst. Sci., 20, 2483–2505, https://doi.org/10.5194/hess-20-2483-2016, 2016. 
Barker, L. J., Smith, K. A., Svensson, C., Tanguy, M., and Hannaford, J.: Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961–2010 for 303 UK catchments (1891–2015), NERC Environmental Information Data Centre, https://doi.org/10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9, 2018. 
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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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