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Therefore, whether the seasonal march of rainfall will change with future global warming is of great concern to the Philippines.
In order to clarify the dominant patterns in the seasonal march of rainfall, an empirical orthogonal function (EOF) analysis was applied to pentad rainfall data of 30 stations.
This study also aims to reveal the relationship between interannual variations in the seasonal march of rainfall and the low-level atmospheric circulation around the Philippines.
This study suggests that the long-term variability in the seasonal march of rainfall is considerably influenced by the variability in ENSO.
To answer this question with a prognostic analysis, we must first investigate the past interannual and long-term variability in the seasonal march of rainfall and its causes.
To clarify the interannual variability in the seasonal march of rainfall, cluster analysis was applied to the time coefficients of the first two EOF modes.
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To clarify the consequences, the station pointed out that during the months of June, July and August, rainfall totaled 3.69 inches at their research farm in Hamden.
However, the variation of the seasonal march pattern of rainfall in relation to ENSO has rarely been studied.
This study investigates the seasonal march patterns of rainfall in the Philippines from 1951 to 2012 and their long-term variability.
The purpose of this study is to elucidate the interannual variability in the seasonal march patterns of rainfall in the Philippines since the late twentieth century.
It is worth noting, however, that the influences of El Niño and La Niña on the seasonal march patterns of rainfall are not always symmetrical.
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