Abstract: The use of linear statistical methods in building climate prediction models is examined, particularly the use of anomalies. The author?s perspective is that the climate system is a nonlinear interacting system, so the ...

Abstract: A method for predicting the timing of winter rains is presented, making no assumptions about the functional form of any relationships that may exist. Ideas built on classification and regression trees and machine learning ...

Abstract: A hierarchical spatial model for daily rainfall extremes that characterizes their temporal variation due to interannual climatic forcing as well as their spatial pattern is proposed. The model treats the parameters of ...