For the purpose of numerically studying sahelian storm rainfields, a family of random functions is described with a characterization of its finite dimensional law. Some problems appearing when fitting its functional parameters are put forward and two solutions to bypass those problems are provided, according to the regularity properties of the marginal cumulative distribution function. An illustration of this method is implemented on a set of sahelian rainfields of event accumulation displaying a strong spatial intermittency. Keywords : geostatistic, Gaussian random functions, anamorphosis, intermittency, discontinuous c.d.f, valid covariance, internal consistency. 1 Introduction 1.1 Scale problems in hydrologic modelling in the Sahel It ...
International audienceAbstract Stochastic rainfall generators aim to reproduce the main statistical ...
International audienceAs in many other semi-arid regions in the world, the Sahelian hydrological env...
International audienceIn distributed land surface modeling (LSM) studies, uncertainty in the rainfie...
The meta-Gaussian model is fitted to a set of 258 sahelian rainfields. The hypotheses underlying thi...
A spatio-temporal model is constructed to interpolate yearly pre-cipitation data from 1982 to 1996 o...
International audienceSimulation methods for design flood estimations in dam safety studies require ...
International audienceIn regions characterized by a great inter-annual variability or by decadal-sca...
West Africa is one of the most data-poor regions in the world. In-situ precipitation observations ar...
International audienceThe synthetic generation of random fields with specified probability distribut...
As in many other semi-arid regions in the world, the Sahelian hydrological environment is characteri...
International audienceThe mesoscale variability of the Sahelian rainfall is analysed from a series o...
International audienceAbstract Stochastic rainfall generators aim to reproduce the main statistical ...
International audienceAs in many other semi-arid regions in the world, the Sahelian hydrological env...
International audienceIn distributed land surface modeling (LSM) studies, uncertainty in the rainfie...
The meta-Gaussian model is fitted to a set of 258 sahelian rainfields. The hypotheses underlying thi...
A spatio-temporal model is constructed to interpolate yearly pre-cipitation data from 1982 to 1996 o...
International audienceSimulation methods for design flood estimations in dam safety studies require ...
International audienceIn regions characterized by a great inter-annual variability or by decadal-sca...
West Africa is one of the most data-poor regions in the world. In-situ precipitation observations ar...
International audienceThe synthetic generation of random fields with specified probability distribut...
As in many other semi-arid regions in the world, the Sahelian hydrological environment is characteri...
International audienceThe mesoscale variability of the Sahelian rainfall is analysed from a series o...
International audienceAbstract Stochastic rainfall generators aim to reproduce the main statistical ...
International audienceAs in many other semi-arid regions in the world, the Sahelian hydrological env...
International audienceIn distributed land surface modeling (LSM) studies, uncertainty in the rainfie...