The first part of the research deals with the estimation of extreme rainfalls for locations where rainfall records are sufficiently available (gaged sites); the second part is concerned with cases where rainfall data are limited (partially-gaged sites); and finally the third part involves the most complex situation where rainfall data are unavailable (ungaged sites).For gaged sites, two methods were developed for estimating the annual extreme (AE) rainfalls based on the simple scaling behaviour of the first three non-central moments (NCMs) of the AE rainfall processes and using the Generalized Extreme Value (GEV) distribution as the parent distribution. The first estimation method was called one-moment (OM) method since it only rel...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
Regional analysis is utilized to improve estimates of probabilities of extreme precipitation events ...
The occurrence of rainfalls of high magnitude constitutes a primary natural hazard in many parts of...
Extreme rainfall events may have catastrophic impacts on the population and infrastructures, therefo...
Extreme rainfall is one of the most devastating natural events. The frequency and intensity of these...
Abstract. Extreme rainfall is classically estimated using raingauge data at raingauge locations. An ...
International audienceExtreme rainfall is classically estimated using raingauge data at raingauge lo...
The Generalized Extreme Value (GEV) distribution is often used to describe the frequency of occurren...
Extreme precipitation models are crucial for understanding the characteristics of extreme weather, e...
Regionalization of extreme rainfall is useful for various applications in hydro-meteorology. There i...
Statistical distributions of annual extreme (AE) and partial duration (PD) for rainfall events are a...
AbstractDaily extreme precipitation values are among environmental events with the most disastrous c...
In data scarce regions, regionalization provides a means for estimating hydrological extremes. In th...
Reliable estimation of design extreme rainfall at an ungauged site is regarded to be an important ta...
A comprehensive understanding of seasonality in extreme rainfall is essential for climate studies, f...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
Regional analysis is utilized to improve estimates of probabilities of extreme precipitation events ...
The occurrence of rainfalls of high magnitude constitutes a primary natural hazard in many parts of...
Extreme rainfall events may have catastrophic impacts on the population and infrastructures, therefo...
Extreme rainfall is one of the most devastating natural events. The frequency and intensity of these...
Abstract. Extreme rainfall is classically estimated using raingauge data at raingauge locations. An ...
International audienceExtreme rainfall is classically estimated using raingauge data at raingauge lo...
The Generalized Extreme Value (GEV) distribution is often used to describe the frequency of occurren...
Extreme precipitation models are crucial for understanding the characteristics of extreme weather, e...
Regionalization of extreme rainfall is useful for various applications in hydro-meteorology. There i...
Statistical distributions of annual extreme (AE) and partial duration (PD) for rainfall events are a...
AbstractDaily extreme precipitation values are among environmental events with the most disastrous c...
In data scarce regions, regionalization provides a means for estimating hydrological extremes. In th...
Reliable estimation of design extreme rainfall at an ungauged site is regarded to be an important ta...
A comprehensive understanding of seasonality in extreme rainfall is essential for climate studies, f...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
Regional analysis is utilized to improve estimates of probabilities of extreme precipitation events ...
The occurrence of rainfalls of high magnitude constitutes a primary natural hazard in many parts of...