To reduce vulnerability and to increase resilience of nowadays societies to heavy precipitations and floods require better understanding of their very strong spatio-temporal variability observable over a wide range of scales. Therefore, throughout this thesis we highlight the methodological interest of a multifractal approach as being most appropriate to analyze and to simulate such the variability. This thesis first discusses the problem of data quality, which strongly depends on the effective temporal resolution of the measurements, and its influence on multifractal analysis determining the scaling laws of precipitation processes. We emphasize the consequences for operational hydrology. We present the SERQUAL procedure that allows to quan...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
Hydrological fields are known to exhibit extreme variability over wide range of spatio-temporal scal...
<p><strong>Abstract</strong></p><p>Hydrological applications such as f...
To reduce vulnerability and to increase resilience of nowadays societies to heavy precipitations and...
Réduire la vulnérabilité et accroître la résilience des sociétés d'aujourd'hui aux fortes précipitat...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
Rainfall is characterized by an extreme variability over a wide range of space- and timescales. Unde...
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...
We present a study performed in the framework of the EDF project on the use of seasonal meteorologic...
Precipitations, in particular the rain, constitute a natural phenomenon which has a very strong soci...
International audienceA number of studies have shown that rainfall processes may be described by sto...
International audienceThe multifractal properties of a 2-year time series of 8-min rainfall intensit...
In large urban areas, storm water management is a challenge with enlarging impervious areas. Many ci...
International audienceIn this paper we suggest to use scaling laws and more specifically Universal M...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
Hydrological fields are known to exhibit extreme variability over wide range of spatio-temporal scal...
<p><strong>Abstract</strong></p><p>Hydrological applications such as f...
To reduce vulnerability and to increase resilience of nowadays societies to heavy precipitations and...
Réduire la vulnérabilité et accroître la résilience des sociétés d'aujourd'hui aux fortes précipitat...
International audienceThe quality of rainfall statistics, especially the Intensity‑Duration‑Frequenc...
Rainfall is characterized by an extreme variability over a wide range of space- and timescales. Unde...
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...
We present a study performed in the framework of the EDF project on the use of seasonal meteorologic...
Precipitations, in particular the rain, constitute a natural phenomenon which has a very strong soci...
International audienceA number of studies have shown that rainfall processes may be described by sto...
International audienceThe multifractal properties of a 2-year time series of 8-min rainfall intensit...
In large urban areas, storm water management is a challenge with enlarging impervious areas. Many ci...
International audienceIn this paper we suggest to use scaling laws and more specifically Universal M...
In this presentation the scaling properties of rainfall time-series generated by a climate model are...
Hydrological fields are known to exhibit extreme variability over wide range of spatio-temporal scal...
<p><strong>Abstract</strong></p><p>Hydrological applications such as f...