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Stochastic simulation of rainfall and climate variables using the direct sampling technique

Oriani, Fabio ; Renard, Philippe (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2015.

An accurate statistical representation of hydrological processes is of paramount importance to evaluate the uncertainty of the present scenario and make reliable predictions in a changing climate. A wealth of historic data has been made available in the last decades, including a consistent amount of remote sensing imagery describing the spatio-temporal nature of climatic and hydrological...