The thesis use data ,From study analyzed the daily rainfall data of the APHRODITE's Water Resources data current version V1101resolution of (not point ทวินตี้ไฟท์ degree บาย not point ทวินตี้ไฟท์ degree)0.25°x0.25° latitude and longitude over Monsoon Asia in orange frame (APHRO_MA_V1101) for 1951 to 2007. We have used the rainfall data over Thailand. the figure show Domain of the current products APHRO_MA/ME/RU_V1101 and APHRO_JP_V1005. Red, black and blue dots show stations corresponding to original rain-gauge data individually collected from local organizations, derived from precompiled datasets, and derived from global telecommunication system reports, respectively.
The EOF analysis is a useful technique In meteorology and oceanography for descriptive multivariate statistics. It is based on a representation of the large data sets in terms of a limited number of orthogonal basis functions while retaining as much as possible of the variation in the data. In the EOF technique the data are first arranged into a matrix Z. this figure show the rainfall data from APHRODITE. It collected at the time t, t1,t2 up to tn and station x , x1,x2 up to xp.
The thesis use data ,From study analyzed the daily rainfall data of the APHRODITE's Water Resources data current version V1101resolution of (not point ทวินตี้ไฟท์ degree บาย not point ทวินตี้ไฟท์ degree)0.25°x0.25° latitude and longitude over Monsoon Asia in orange frame (APHRO_MA_V1101) for 1951 to 2007. We have used the rainfall data over Thailand. the figure show Domain of the current products APHRO_MA/ME/RU_V1101 and APHRO_JP_V1005. Red, black and blue dots show stations corresponding to original rain-gauge data individually collected from local organizations, derived from precompiled datasets, and derived from global telecommunication system reports, respectively.
The EOF analysis is a useful technique In meteorology and oceanography for descriptive multivariate statistics. It is based on a representation of the large data sets in terms of a limited number of orthogonal basis functions while retaining as much as possible of the variation in the data. In the EOF technique the data are first arranged into a matrix Z. this figure show the rainfall data from APHRODITE. It collected at the time t, t1,t2 up to tn and station x , x1,x2 up to xp.
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