Articles | Volume 24, issue 7
Hydrol. Earth Syst. Sci., 24, 3699–3723, 2020
https://doi.org/10.5194/hess-24-3699-2020
Hydrol. Earth Syst. Sci., 24, 3699–3723, 2020
https://doi.org/10.5194/hess-24-3699-2020

Research article 23 Jul 2020

Research article | 23 Jul 2020

A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields

Marc Schleiss

Related authors

A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations
Anna Špačková, Vojtěch Bareš, Martin Fencl, Marc Schleiss, Joël Jaffrain, Alexis Berne, and Jörg Rieckermann
Earth Syst. Sci. Data, 13, 4219–4240, https://doi.org/10.5194/essd-13-4219-2021,https://doi.org/10.5194/essd-13-4219-2021, 2021
Short summary
Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania
Didier de Villiers, Marc Schleiss, Marie-Claire ten Veldhuis, Rolf Hut, and Nick van de Giesen
Atmos. Meas. Tech., 14, 5607–5623, https://doi.org/10.5194/amt-14-5607-2021,https://doi.org/10.5194/amt-14-5607-2021, 2021
Short summary
The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden
Marc Schleiss, Jonas Olsson, Peter Berg, Tero Niemi, Teemu Kokkonen, Søren Thorndahl, Rasmus Nielsen, Jesper Ellerbæk Nielsen, Denica Bozhinova, and Seppo Pulkkinen
Hydrol. Earth Syst. Sci., 24, 3157–3188, https://doi.org/10.5194/hess-24-3157-2020,https://doi.org/10.5194/hess-24-3157-2020, 2020
Short summary
How intermittency affects the rate at which rainfall extremes respond to changes in temperature
Marc Schleiss
Earth Syst. Dynam., 9, 955–968, https://doi.org/10.5194/esd-9-955-2018,https://doi.org/10.5194/esd-9-955-2018, 2018
Short summary
Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations
Christian Bouwens, Marie-Claire ten Veldhuis, Marc Schleiss, Xin Tian, and Jerôme Schepers
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-751,https://doi.org/10.5194/hess-2017-751, 2018
Revised manuscript not accepted
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Stochastic approaches
Modeling seasonal variations of extreme rainfall on different timescales in Germany
Jana Ulrich, Felix S. Fauer, and Henning W. Rust
Hydrol. Earth Syst. Sci., 25, 6133–6149, https://doi.org/10.5194/hess-25-6133-2021,https://doi.org/10.5194/hess-25-6133-2021, 2021
Short summary
Compound flood potential from storm surge and heavy precipitation in coastal China: dependence, drivers, and impacts
Jiayi Fang, Thomas Wahl, Jian Fang, Xun Sun, Feng Kong, and Min Liu
Hydrol. Earth Syst. Sci., 25, 4403–4416, https://doi.org/10.5194/hess-25-4403-2021,https://doi.org/10.5194/hess-25-4403-2021, 2021
Short summary
Influence of ENSO and tropical Atlantic climate variability on flood characteristics in the Amazon basin
Jamie Towner, Andrea Ficchí, Hannah L. Cloke, Juan Bazo, Erin Coughlan de Perez, and Elisabeth M. Stephens
Hydrol. Earth Syst. Sci., 25, 3875–3895, https://doi.org/10.5194/hess-25-3875-2021,https://doi.org/10.5194/hess-25-3875-2021, 2021
Short summary
Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process
Jieru Yan, Fei Li, András Bárdossy, and Tao Tao
Hydrol. Earth Syst. Sci., 25, 3819–3835, https://doi.org/10.5194/hess-25-3819-2021,https://doi.org/10.5194/hess-25-3819-2021, 2021
Short summary
Comparison of statistical downscaling methods for climate change impact analysis on precipitation-driven drought
Hossein Tabari, Santiago Mendoza Paz, Daan Buekenhout, and Patrick Willems
Hydrol. Earth Syst. Sci., 25, 3493–3517, https://doi.org/10.5194/hess-25-3493-2021,https://doi.org/10.5194/hess-25-3493-2021, 2021

Cited articles

Ahrens, B.: Rainfall downscaling in an alpine watershed applying a multiresolution approach, J. Geophys. Res.-Atmos., 108, 1–12, https://doi.org/10.1029/2001JD001485, 2003. a
Bechler, A., Vrac, M., and Bel, L.: A spatial hybrid approach for downscaling of extreme precipitation fields, J. Geophys. Res.-Atmos., 120, 4534–4550, https://doi.org/10.1002/2014JD022558, 2015. a
Cârsteanu, A. and Foufoula-Georgiou, E.: Assessing dependence among weights in a multiplicative cascade model of temporal rainfall, J. Geophys. Res.-Atmos., 101, 26363–26370, https://doi.org/10.1029/96JD01657, 2016. a
De Luca, D. L.: Analysis and modelling of rainfall fields at different resolutions in southern Italy, Hydrolog. Sci. J., 59, 1536–1558, https://doi.org/10.1080/02626667.2014.926013, 2014. a
de Montera, L., Barthès, L., Mallet, C., and Golé: The Effect of Rain–No Rain Intermittency on the Estimation of the Universal Multifractals Model Parameters, J. Hydrometeorol., 10, 493–506, https://doi.org/10.1175/2008JHM1040.1, 2009. a
Download
Short summary
A new way to downscale rainfall fields based on the notion of equal-volume areas (EVAs) is proposed. Experiments conducted on 100 rainfall events in the Netherlands show that the EVA method outperforms classical methods based on fixed grid cell sizes, producing fields with more realistic spatial structures. The main novelty of the method lies in its adaptive sampling strategy, which avoids many of the mathematical challenges associated with the presence of zero rainfall values.