Sea Surface Temperature Anomaly Characteristics Affecting Rainfall in Western Java, Indonesia

Western Java is densely populated with high socio-economic activity. Climate-related disasters can be mitigated the support of an understanding systems that produce reliable climate predictions. One variables included in hydrometeorological rainfall. The characteristics rainfall cannot separated from sea surface temperature (SST) around area. This study compares relationship between SST and singular value decomposition (SVD) it Pearson's correlation. SVD Model performance was evaluated using square covariance fraction (SCF) Pearson results showed has a higher correlation Anomaly (SSTA) by SVD, about 0.63 6 to 9 months without lag time. Rainfall western closely related positive SSTA anomaly southern Indonesia, especially waters south Island, negative anomalies other areas. Furthermore, atmospheric dynamic analysis coefficient expansion followed warmer SST, lower air pressure, water vapor, rainfall, all were respective their normal conditions Java. concludes causes increased than potentially impacts hydrological disaster West