Among different approaches that have been proposed to explain the scaling structure of temporal rainfall, a significant body belongs to models based on sequences of independent pulses with internal multifractal structure. Based on a standard asymptotic result from extreme value theory, annual rainfall maxima are typically modelled using a generalized extreme value (GEV) distribution. However, multifractal rainfall maxima converge slowly to a GEV shape, with important shape-parameter estimation issues, especially from short samples. The present work uses results from multifractal theory to propose a solution to the GEV shape-parameter estimation problem, based on an iterative numerical procedure
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
International audienceRadar data are used to characterize the spatial variability of rainfall, in pa...
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...
The coupling of hydrological distributed models to numerical weather prediction outputs is an import...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
In the framework of the universal multifractals the scaling variability and the extremes of the rain...
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...
Two primary approaches to model rainfall are the stochastic approaches, which aim at mimicking the r...
One of the main features of the rainfall field is its intermittency. Furthermore, a rainfall data se...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
International audienceRadar data are used to characterize the spatial variability of rainfall, in pa...
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...
The coupling of hydrological distributed models to numerical weather prediction outputs is an import...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
In the framework of the universal multifractals the scaling variability and the extremes of the rain...
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...
Two primary approaches to model rainfall are the stochastic approaches, which aim at mimicking the r...
One of the main features of the rainfall field is its intermittency. Furthermore, a rainfall data se...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
International audienceRadar data are used to characterize the spatial variability of rainfall, in pa...