RAINFALL TREND BY LINEAR REGRESSION ANALYSIS OVER INDOCHINA PENINSULA DURING 1981-2017 (37 YEARS)

Abstract

The objective of this study used data from the Global Rainfall Climatology Project (GPCP)
global gridded data observation to statistical analysis rainfall over the Indochina Peninsula (from 1981 to 2017
(37 years)) with a domain of 2.5° by 2.5° grid spacing. The central tendency (mean, range, etc.) and dispersion
(S.D, CV, etc.) were used in the statistical analysis. For identifying the trend in the rainfall data, the statistical
analysis of linear regression was used in this study. The results in this study were shown the total amount of
rainfall changes over three periods that were period I (1981-1990), period II (1991-2000), period III (2001-
2010) and period IV (2011-2017). In the basic statistical was analyzed rainfall annual, rainfall monthly, and
regression monthly rainfall analysis over ICP. In basic statistical was shown the highest annual mean rainfall
was 2017, which recorded an amount of 162.91 mm. The record indicated the standard deviation correlating
the highest annual mean rainfall was 51.99 mm. From the results of the linear regression analysis revealed
downward trends in the rainfall for the months of April, July, October, and December and an upward trend for
other months. In this study was shown the overall trend of the spatial pattern over ICP.