During the stay in Columbia University it has been carried out an investigation on the future patterns of daily temperature, precipitation and sea level in different coastal regions , under global warming scenario simulated by CGMs, in order to provide the input data for performing hydrodynamics/morphodynamics analysis of surface and groundwater flows in such regions. The research is address to the development and application of statistical downscaling approaches, as Hidden Markov Model and Non-homogeneous Hidden Markov model, Artificial Neural Network and combined approaches; these approaches are applied to a number of regions as South Florida, Tanzania and Piana Pontina. Further it has been developped a statistical forecast model for Tropical Cyclone Rainfall and flood events for the Hudson River, New York City area. Specifically the aim is the construction of a system of statistical models able to translates the attributes of a tropical cyclone to rainfall intensity at selected stations within the watershed of Hudson River and to transforms, , the rainfall intensities, calculated for the ensemble of the stations, to the streamflows at specific points of the tributaries of the Hudson River, to use as inputs in a hydrodynamic model that includes storm surge dynamics for the simulation of coastal flooding along the Hudson River.
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|Titolo:||Associate Visiting Professor|
|Data di pubblicazione:||2013|
|Appartiene alla tipologia:||14p Visita presso Università o Ente di ricerca estero (almeno un mese)|