Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-887-2016
https://doi.org/10.5194/hess-20-887-2016
Research article
 | 
26 Feb 2016
Research article |  | 26 Feb 2016

Accounting for dependencies in regionalized signatures for predictions in ungauged catchments

Susana Almeida, Nataliya Le Vine, Neil McIntyre, Thorsten Wagener, and Wouter Buytaert

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Cited articles

Almeida, S. M. C. L.: The Value of Regionalised Information for Hydrological Modelling, PhD thesis, Imperial College London, London, UK, 2014.
Almeida, S., Bulygina, N., McIntyre, N., Wagener, T., and Buytaert, W.: Predicting flows in ungauged catchments using correlated information sources, in: British Hydrological Society's Eleventh National Hydrology Symposium, Hydrology for a Changing World, Dundee, UK, 2012.
Almeida, S., Bulygina, N., McIntyre, N., Wagener, T., and Buytaert, W.: Improving parameter priors for data-scarce estimation problems, Water Resour. Res., 49, 6090–6095, https://doi.org/10.1002/wrcr.20437, 2013.
Arnold, J. G. and Allen, P. M.: Automated methods for estimating baseflow and ground water recharge from streamflow records, J. Am. Water Resour. As., 35, 411–424, https://doi.org/10.1111/j.1752-1688.1999.tb03599.x, 1999.
Boorman, D. B., Hollis, J. M., and Lilly, A.: Hydrology of soil types: a hydrologically-based classification of the soils of the United Kingdom, Tech. rep., Institute of Hydrology, Wallingford, UK, 1995.
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Short summary
The absence of flow data to calibrate hydrologic models may reduce the ability of such models to reliably inform water resources management. To address this limitation, it is common to condition hydrological model parameters on regionalized signatures. In this study, we justify the inclusion of larger sets of signatures in the regionalization procedure if their error correlations are formally accounted for and thus enable a more complete use of all available information.