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

Related authors

Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?
Hannes Müller-Thomy, Markus Wallner, and Kristian Förster
Hydrol. Earth Syst. Sci., 22, 5259–5280,,, 2018
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves
Mengyuan Mu, Martin G. De Kauwe, Anna M. Ukkola, Andy J. Pitman, Teresa E. Gimeno, Belinda E. Medlyn, Dani Or, Jinyan Yang, and David S. Ellsworth
Hydrol. Earth Syst. Sci., 25, 447–471,,, 2021
Short summary
A two-stage blending approach for merging multiple satellite precipitation estimates and rain gauge observations: an experiment in the northeastern Tibetan Plateau
Yingzhao Ma, Xun Sun, Haonan Chen, Yang Hong, and Yinsheng Zhang
Hydrol. Earth Syst. Sci., 25, 359–374,,, 2021
Short summary
Identifying robust bias adjustment methods for European extreme precipitation in a multi-model pseudo-reality setting
Torben Schmith, Peter Thejll, Peter Berg, Fredrik Boberg, Ole Bøssing Christensen, Bo Christiansen, Jens Hesselbjerg Christensen, Marianne Sloth Madsen, and Christian Steger
Hydrol. Earth Syst. Sci., 25, 273–290,,, 2021
Short summary
Developing a hydrological monitoring and sub-seasonal to seasonal forecasting system for South and Southeast Asian river basins
Yifan Zhou, Benjamin F. Zaitchik, Sujay V. Kumar, Kristi R. Arsenault, Mir A. Matin, Faisal M. Qamer, Ryan A. Zamora, and Kiran Shakya
Hydrol. Earth Syst. Sci., 25, 41–61,,, 2021
Short summary
Simulation analysis of local land atmosphere coupling in rainy season over a typical underlying surface in the Tibetan Plateau
Genhou Sun, Zeyong Hu, Yaoming Ma, Zhipeng Xie, Jiemin Wang, and Song Yang
Hydrol. Earth Syst. Sci., 24, 5937–5951,,, 2020
Short summary

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.