Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 169–188, 2020
https://doi.org/10.5194/hess-24-169-2020
Hydrol. Earth Syst. Sci., 24, 169–188, 2020
https://doi.org/10.5194/hess-24-169-2020

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

Data sets

Climate Data Center - Climate observations in Germany DWD https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/

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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.