Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation
By D. Rupp, R. Keim, Mina E. Ossiander, Marcela Brugnach, John S. Selker. 2009
141 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/d08f298ae5b4b16b3990b3201c9e343ec76332d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- E. Volpi
- F. Lombardo
- F. Serinaldi
- Demetris Koutsoyiannis
- Vijay P. Singh
- Simon Michael Papalexiou
- Chris G. Kilsby
- Khaled H. Hamed
In Water Science and Technology
Citations in the corpus
- Multifractality, imperfect scaling and hydrological properties of rainfall time series simulated by continuous universal multifractal and discrete random cascade models (2010, methodology): “In order to perform a comparison with the results obtained by Rupp et al.(2009), we focused onpx instead ofp0.”
- Rainfall downscaling in time: theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades (2012, methodology): “In the literature, bounded random cascades have been frequently applied to the stochastic fine graining of rainfall observations into high resolution data both in the canonical and microcanonical form (e.g. Menabde et al. 1997, Menabde and Sivapalan 2000, Rupp et al. 2009, Licznar et al. 2011).”