TY - JOUR
T1 - Analysing the relationship between ocean indices and rainfall in the Chao Phraya River Basin
AU - Rangsiwanichpong, Prem
AU - Kazama, So
AU - Ekkawatpanit, Chaiwat
N1 - Funding Information:
This study was supported by Advancing Co-design of Integrated Strategies with Adaptation to Climate Change (ADAP-T) of JST/JICA, SATREPS. This study was carried out by the Program for Leading Graduate Schools, Tohoku University and the ‘Inter-Graduate School Doctoral Degree Program on Global Safety’, of the Ministry of Education, Culture, Sports, Science and Technology. The authors wish to thank the Thai RID of Thailand and the Hydro and Agro Informatics Institute (HAII) for providing us with meteorological data.
Publisher Copyright:
© 2017 Royal Meteorological Society
PY - 2017/8
Y1 - 2017/8
N2 - We examined the variability of ocean indices and rainfall in the Chao Phraya River Basin. We used rescaled adjusted partial sums (RAPS) to analyse the relationship between rainfall and various ocean indices, such as the Southern Oscillation Index (SOI), sea surface temperature indices and the Dipole Mode Index (DMI). Rainfall in the Chao Phraya River basin was strongly correlated with the SOI index. Furthermore, results of the analysis accounted for the location of the rainfall station and showed that rainfall in the high-latitude area of the Chao Phraya River Basin was most highly correlated with the SOI index. However, sea surface temperature (SST) indices were more highly correlated with rainfall than the SOI index in the low-latitude area.
AB - We examined the variability of ocean indices and rainfall in the Chao Phraya River Basin. We used rescaled adjusted partial sums (RAPS) to analyse the relationship between rainfall and various ocean indices, such as the Southern Oscillation Index (SOI), sea surface temperature indices and the Dipole Mode Index (DMI). Rainfall in the Chao Phraya River basin was strongly correlated with the SOI index. Furthermore, results of the analysis accounted for the location of the rainfall station and showed that rainfall in the high-latitude area of the Chao Phraya River Basin was most highly correlated with the SOI index. However, sea surface temperature (SST) indices were more highly correlated with rainfall than the SOI index in the low-latitude area.
KW - ocean index
KW - rainfall variability
KW - Thailand
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U2 - 10.1002/joc.4997
DO - 10.1002/joc.4997
M3 - Article
AN - SCOPUS:85028419066
SN - 0899-8418
VL - 37
SP - 230
EP - 238
JO - International Journal of Climatology
JF - International Journal of Climatology
ER -