The multifractal representation of rainfall and its use to predict rainfall extremes have advanced significantly in recent years. This paper summarizes this body of work and points at some open questions. The need for a coherent overview comes in part from the use of different terminology, notation, and analysis methods in the literature and in part from the fact that results are dispersed and not always readily available. Two important trends have marked the use of multifractals for rainfall and its extremes. One is the recent shift of focus from asymptotic scaling properties (mainly for the intensity-durationfrequency curves and the areal reduction factor) to the exact extreme distribution under nonasymptotic conditions. This shift has ma...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
One of the main features of the rainfall field is its intermittency. Furthermore, a rainfall data se...
Among different approaches that have been proposed to explain the scaling structure of temporal rain...
The multifractal representation of rainfall and its use to predict rainfall extremes have advanced s...
We study the extremes generated by a multifractal model of temporal rainfall and propose a practical...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
The coupling of hydrological distributed models to numerical weather prediction outputs is an import...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
The multifractal properties of a 2-year time series of 8-min rainfall intensity observations are inv...
In the framework of the universal multifractals the scaling variability and the extremes of the rain...
Scale invariance is the most fertile concept to be introduced in stochastic rainfall modeling in 15 ...
[Departement_IRSTEA]RE [TR1_IRSTEA]RIE / TRANSFEAUNational audienceExtremes and multifractals in hyd...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
One of the main features of the rainfall field is its intermittency. Furthermore, a rainfall data se...
Among different approaches that have been proposed to explain the scaling structure of temporal rain...
The multifractal representation of rainfall and its use to predict rainfall extremes have advanced s...
We study the extremes generated by a multifractal model of temporal rainfall and propose a practical...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
The coupling of hydrological distributed models to numerical weather prediction outputs is an import...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
The multifractal properties of a 2-year time series of 8-min rainfall intensity observations are inv...
In the framework of the universal multifractals the scaling variability and the extremes of the rain...
Scale invariance is the most fertile concept to be introduced in stochastic rainfall modeling in 15 ...
[Departement_IRSTEA]RE [TR1_IRSTEA]RIE / TRANSFEAUNational audienceExtremes and multifractals in hyd...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
One of the main features of the rainfall field is its intermittency. Furthermore, a rainfall data se...
Among different approaches that have been proposed to explain the scaling structure of temporal rain...