Forecasting El Niño - Southern Oscillation (ENSO) events : a neural network approach
Neural network models were used to seasonally forecast the tropical Pacific sea surface temperature anomalies (SSTA) in the Nino 3.4 region (6°S - 6°N, 120°W - 170°W). The inputs to the neural networks (i.e. the predictors) were the first seven wind stress empirical orthogonal function (EOF) mode...
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| Format: | Others |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/2429/7441 |