A Framework for Exploratory Analysis of Extreme Weather Events Using Geostatistical Procedures and 3D Self-Organizing Maps
Jorge Gorricha, Victor J. A. S. Lobo, Ana Cristina Costa · New University of Lisbon's Repository (New University of Lisbon) · 2013
Abstract — Extreme weather events such as heavy precipitation can be analyzed from multiple perspectives such diverse as the daily intensity or the number of consecutive wet days. Thus, it is necessary to get an overall view of the problem in order to characterize the extreme precipitation occurrence along time and space. Extreme precipitation indices, estimated from the empirical distribution of the daily observations, are increasingly being used not only to investigate trends in observed precipitation records, but also to examine scenarios of future climate changes. However, each of the indices, by itself, shows only a part of the phenomenon and there are multiple examples where one single index is not sufficient to characterize the occurrence of extreme precipitation. Therefore, a high dimensional approach should be considered. In this paper, we propose a framework for characterizing the