Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 169–188, 2020
Hydrol. Earth Syst. Sci., 24, 169–188, 2020
Research article
14 Jan 2020
Research article | 14 Jan 2020

Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation

Hannes Müller-Thomy

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Cited articles

Bardossy, A.: Generating precipitation time series using simulated annealing, Water Resour. Res., 34, 1737–1744, 1998. 
Berne, A., Delrieu, G., Creutin, J. D., and Obled, C.: Temporal and spatial resolution of rainfall measurements required for urban hydrology, J. Hydrol., 299, 166–179, 2004. 
Blöschl, G. and Sivapalan, M.: Scale issues in hydrological modeling: a review, Hydrol. Process., 9, 251–290, 1995. 
Breinl, K. and Di Baldassarre, G.: Space-time disaggregation of precipitation and temperature across different climates and spatial scales, J. Hydrol., Regional studies, 21, 126–146, 2019. 
Breinl, K., Strasser, U., Bates, P., and Kienberger, S.: A joint modelling framework for daily extremes of river discharge and precipitation in urban areas, J. Flood Risk Manag., 10, 97–114, 2015. 
Short summary
Simulation of highly dynamic floods requires high-resolution rainfall time series. Observed time series of that kind are often too short; rainfall generation is the only solution. The applied rainfall generator tends to underestimate the process memory of the rainfall. By modifications of the rainfall generator and a subsequent optimisation method the process memory is improved significantly. Flood simulations are expected to be more trustable using the rainfall time series generated like this.