Abstract: The behavior of the Malaysian anomalous rainfall is examined in relation to the El Niño?Southern Oscillation (ENSO) and local air?sea influences. The behavior is consistent with the northward migration of the ENSO-related ...

Abstract: This paper compares the skills of four different forecasting approaches in predicting the 1-month lead time of the Malaysian winter season precipitation. Two of the approaches are based on statistical downscaling techniques ...

Abstract: Among the statistical methods used for seasonal climate prediction, canonical correlation analysis (CCA), a more sophisticated version of the linear regression (LR) method, is well established. Recently, neural networks ...

Abstract: 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 ...