Rainfall Variability Study in Bangkok and Songkhla province Thailand using Cross Wavelet Coherence Stationary Oscillation
Keywords:
rainfall variability, stationary oscillation, sea ice extent, cross wavelet coherenceAbstract
Rainfall variability in Southern Asia is strongly affected by local climate, associated with temporal and spatial variations of large-scale atmospheric circulation. Rainfall is a major water source for drinking water and agriculture. For this reason, knowing the interannual relationship between two local climates can provide significant information for forecasting the rainy season to decrease disaster risk and improve water management. In this paper, we present a cross wavelet coherence stationary oscillation (XWCSO) between Arctic- and Antarctic-wide changes in the sea ice extent and rainfall variability at two locations with very different topography, i.e., Bangkok and Songkhla provinces, Thailand. The XWCSO results can be interpreted as large rainfall variability in Bangkok from 1988 to 1990, 2000 to 2007, and 2011 to 2015 during mid-November to mid-March, mid-August to mid-December, and mid-May to mid-September respectively. However, in Songkhla province, the heavy rainfall from 1988 to 2015 occurred from early July until mid-December. Such variability can be connected to the seasonal winds, El Niño and La Niña Southern Oscillation. The proposed scheme should be useful for analyzing and forecasting the rainfall variability over Southeast Asia and other areas, as well as applications in meteorology and agriculture.
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