Comparative forecasting and a test for persistence in the EL Niño Southern Oscillation

Belinda A. Chiera, Jerzy A. Filar, Daniel S. Zachary, Adrian H. Gordon

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

We present an analysis of two separate single-indicator forecasting methods for the El Nino Southern Oscillation based on oscillation persistence. We use the Southern Oscillation Index (SOI) to produce short term 5 month forecasts and a Bayesian approach to explore SOI persistence, with results compared to a benchmarking Taylor Series expansion. We find signal persistence is important when forecasting more than a few months and the models presented may provide a relatively simple approach to environmental risk forecasting in situations where the underlying phenomenon exhibits substantial persistence.

Original languageEnglish
Title of host publicationUncertainty and environmental decision making
Subtitle of host publicationA handbook of research and best practice
EditorsJerzy A. Filar, Alain Haurie
PublisherSpringer New York LLC
Pages255-273
Number of pages19
ISBN (Electronic)9781441911292
ISBN (Print)9781441911285
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameInternational Series in Operations Research and Management Science
Volume138
ISSN (Print)0884-8289

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