Forecasting ENSO Events : A Neural Network – Extended EOF Approach

@inproceedings{Tangang1998ForecastingEE,
  title={Forecasting ENSO Events : A Neural Network – Extended EOF Approach},
  author={Fredolin T. Tangang and Benyang Tang and Adam H. Monahan and William W. Hsieh},
  year={1998}
}
The authors constructed neural network models to forecast the sea surface temperature anomalies (SSTA) for three regions: Niño 4, Niño 3.5, and Niño 3, representing the western-central, the central, and the eastern-central parts of the equatorial Pacific Ocean, respectively. The inputs were the extended empirical orthogonal functions (EEOF) of the sea level pressure (SLP) field that covered the tropical Indian and Pacific Oceans and evolved for a duration of 1 yr. The EEOFs greatly reduced the… CONTINUE READING
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