Articles | Volume 22, issue 10
Research article
15 Oct 2018
Research article |  | 15 Oct 2018

Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?

Hannes Müller-Thomy, Markus Wallner, and Kristian Förster

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Cited articles

Aarts, E. and Korst, J.: Simulated Annealing and Boltzmann Machines: A stochastic approach to combinatorial optimization and neural computing, John Wiley & Sons, Chichester, UK, 1965. 
Andrés-Doménech, I., García-Bartual, R., Montanari, A., and Marco, J. B.: Climate and hydrological variability: the catchment filtering role, Hydrol. Earth Syst. Sci., 19, 379–387,, 2015. 
Bárdossy, A. and Das, T.: Influence of rainfall observation network on model calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89,, 2008. 
Bergström, S.: Development and application of a conceptual runoff model for Scandinavian catchments, SMHI Report RHO 7, Norrköping, 134 pp., 1976. 
Beven, K. J.: Rainfall-Runoff Modelling: The Primer, John Wiley and Sons, Chichester, UK, 2001. 
Short summary
Rainfall time series are disaggregated from daily to hourly values to be used for rainfall–runoff modeling of mesoscale catchments. Spatial rainfall consistency is implemented afterwards using simulated annealing. With the calibration process applied, observed runoff statistics (e.g., summer and winter peak flows) are represented well. However, rainfall datasets with under- or over-estimation of spatial consistency lead to similar results, so the need for a good representation can be questioned.