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ENSO Predictions with Coupled Ocean Atmosphere Models

  • Martin Fischer
Chapter

Abstract

The strongest signal on the short range climatic time scale, ranging from a few months to several years, is the El Niño/Southern Oscillation Phenomenon (ENSO). It is characterized by a weakening of the trade winds along the equator and a huge redistribution of heat from the western to the eastern tropical Pacific. The impacts of ENSO are felt worldwide through a disruption of the atmospheric general circulation pattern (Ropelewski and Halpert 1987), which leads, for instance, to severe droughts in Northwest Australia and South East Asia during an El Nino event. The Northeast region of Brazil and Zimbabwe are other regions where rainfall variations are highly correlated with ENSO indices and there are many other examples. Off the Peruvian coast, the marine ecosystem is directly affected by the oceanic variations in upwelling, which has a large impact on the fishery industry. For all these regions, reliable ENSO forecasts would offer decision-makers an opportunity to take account of anticipated climate variations, in order to reduce impacts of ENSO on the economy. Thus, it is a logical consequence that the study of ENSO predictability has become a field of major research.

Keywords

Wind Stress Ocean Heat Content Empirical Orthogonal Function Couple General Circulation Model Wind Stress Anomaly 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Martin Fischer
    • 1
  1. 1.Consiglio Nazionale delle Ricerche, Istituto per lo studio delle Metodologie Geofisiche AmbientaliItaly

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