[Notes_IRSTEA]Ouvrage électronique [Departement_IRSTEA]RE [TR1_IRSTEA]RIE / TRANSFEAUThis book provides a simplified description of the procedures to be used to perform an analysis of hydrological data within a multifractal framework. After a review of multifractal theory and the presentation of one model for identifying scale invariance properties, examples of applications to rainfall and discharge time series are given.Cet ouvrage propose une procédure simplifiée pour réaliser une analyse de séries hydrologiques dans un cadre multifractal. Après un rappel de la théorie des multifractales, il décrit un modèle permettant d'identifier les propriétés d'invariance d'échelle, et présente des exemples d'application à des séries temporelles de pl...
Rainfall is characterized by an extreme variability over a wide range of space- and timescales. Unde...
International audience(phone +33 1 64 15 36 48; fax 7 +33 1 64 15 37 64) 8 9 Abstract 10 In this pap...
En el presente estudio se aplica el Análisis Multifractal (AM) para analizar la variabilidad del pat...
[Notes_IRSTEA]Existe aussi en version française : "Analyse multifractale en hydrologie", Editions Qu...
Hydrology and more generally sciences involved in water resources management, researches and technol...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
The study of rain and clouds, even after centuries of research, is still a subject whose theoretical...
International audienceThe multifractal properties of a 2-year time series of 8-min rainfall intensit...
<p><strong>Abstract</strong></p><p>Hydrological applications such as f...
We study the multifractal properties of water level with a high-frequency and massive time series us...
[Departement_IRSTEA]RE [TR1_IRSTEA]RIE / TRANSFEAUNational audienceExtremes and multifractals in hyd...
International audienceIn this paper we suggest to use scaling laws and more specifically Universal M...
We present the application of a deterministic fractal geometric approach—the so-called fractal-multi...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
Rainfall is characterized by an extreme variability over a wide range of space- and timescales. Unde...
International audience(phone +33 1 64 15 36 48; fax 7 +33 1 64 15 37 64) 8 9 Abstract 10 In this pap...
En el presente estudio se aplica el Análisis Multifractal (AM) para analizar la variabilidad del pat...
[Notes_IRSTEA]Existe aussi en version française : "Analyse multifractale en hydrologie", Editions Qu...
Hydrology and more generally sciences involved in water resources management, researches and technol...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
Rainfall is a highly non-linear hydrological process that exhibits wide variability over a broad ran...
The study of rain and clouds, even after centuries of research, is still a subject whose theoretical...
International audienceThe multifractal properties of a 2-year time series of 8-min rainfall intensit...
<p><strong>Abstract</strong></p><p>Hydrological applications such as f...
We study the multifractal properties of water level with a high-frequency and massive time series us...
[Departement_IRSTEA]RE [TR1_IRSTEA]RIE / TRANSFEAUNational audienceExtremes and multifractals in hyd...
International audienceIn this paper we suggest to use scaling laws and more specifically Universal M...
We present the application of a deterministic fractal geometric approach—the so-called fractal-multi...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
Rainfall is characterized by an extreme variability over a wide range of space- and timescales. Unde...
International audience(phone +33 1 64 15 36 48; fax 7 +33 1 64 15 37 64) 8 9 Abstract 10 In this pap...
En el presente estudio se aplica el Análisis Multifractal (AM) para analizar la variabilidad del pat...