Rainfall stochastic disaggregation models: Calibration and validation of a multiplicative cascade model
By E. Gaume, N. Mouhous, H. Andrieu. 2007
60 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/227fd8f65839bc867dd8222ae2248f90a764d977
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- E. Volpi
- F. Lombardo
- Demetris Koutsoyiannis
- F. Serinaldi
- R. Keim
- Marcela Brugnach
- D. Rupp
- Mina E. Ossiander
In Environmental Engineering
- E. Volpi
- F. Lombardo
- Demetris Koutsoyiannis
- F. Serinaldi
- Mehmet Özger
- Vijay P. Singh
- Keith Beven
- Simon Michael Papalexiou
In Global and Planetary Change
- F. Serinaldi
- E. Volpi
- F. Lombardo
- Demetris Koutsoyiannis
- D. Rupp
- John S. Selker
- R. Keim
- Marcela Brugnach
Citations in the corpus
- Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation (2009, methodology): “where j =1 , 2, ... ,2 k .A t theith level, the function f(i, j) indexes the position of the time interval and is given by rounding up j/2 k� i to the nearest integer [e.g., Gaume et al., 2007 ].”
- Rainfall downscaling in time: theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades (2012, methodology): “( ) = −i k b j j i g , , which is a ceiling function (Gaume et al. 2007).”
- Multifractality, imperfect scaling and hydrological properties of rainfall time series simulated by continuous universal multifractal and discrete random cascade models (2010, background): “However, the space-time resolution of this data is often not appropriate for several hydrological analyses, and rainfall information needs to be disaggregated to a finer space-time resolution (e.g.,Gaume et al., 2007).”