A New Approach to Stochastically Generating Six-Monthly Rainfall Sequences Based on Empirical Mode Decomposition
Thomas A McMahon, Anthony S Kiem, Murray C Peel, Phillip W Jordan, Geoffrey GS Pegram
Journal of Hydrometeorology | AMER METEOROLOGICAL SOC | Published : 2008
This paper introduces a new approach to stochastically generating rainfall sequences that can take into account natural climate phenomena, such as the El Niño-Southern Oscillation and the interdecadal Pacific oscillation. The approach is also amenable to modeling projected affects of anthropogenic climate change. The method uses a relatively new technique, empirical mode decomposition (EMD), to decompose a historical rainfall series into several independent time series that have different average periods and amplitudes. These time series are then recombined to form an intradecadal time series and an interdecadal time series. After separate stochastic generation of these two series, because t..View full abstract
The authors wish to thank ActewAGL, Canberra, for providing the rainfall data used in this study and for partially funding the analysis. The authors acknowledge Stephen Impey for preparing Figure 1. They also acknowledge Rory Nathan for his advice on, and contribution to, the development of this methodology and earlier drafts of this paper. The authors thank the anonymous reviewers for their comments that helped to improve the paper.