The result shows correlations of PC1 to Niño3 index of DJF on previous months (lead time) and following months (lag time), which the study the correlation of the lead time, lag time anomalies between rainfall anomalies and nino3 (Nino3.4) SST index ,it showed in Table 1 to 8. The zero value of lead time and lag time represented the rainfall anomalies at Nino3(Nino3.4) SST index.
From these analyses, they show that the forcing of SST anomalous in the Pacific
Ocean affects rainfall variability over the Indochina. The ENSO does not play a greater role
on rainfall variability comparing to the SA in the North Pacific Ocean. These agree with the
relationship between rainfall in the Southeast Asia and ENSO that shows the large variation
of rainfall over the Borneo (Juneng and Tangang, 2005). Nevertheless, the influence of ENSO
on rainfall variability over the Indochina in this study was shown by the data analysis.
Another perspective given by the modeling is important to give more understanding.
Moreover, the Pacific Decadal Oscillation would be of interest for study further due to it
related to the SST in the North Pacific. There are the plenty of understandings required for
more understanding of climate variability over the Indochina such as the mechanism of SST
forcing affects the rainfall variability.