Analysis of the Relationship between the Standard Precipitation Index in South Vietnam and Sea Surface Temperature

Luong Van Viet
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Abstract

This study investigated the correlation coefficient between sea surface temperature (SST) and the standard precipitation Index (SPI) at stations in south of Vietnam. The data included in this survey are the precipitation of 47 stations in South Vietnam and the field of SST from the NCEP/NCAR Reanalysis for the period between 1979 and 2019. The results show that with a single region, SST in the Niño 3.4 region has the best relationship with SPI in the study area. Using multiple correlation analysis, this study found a region between 115 oE and 130oE and latitude from 15 oS to 25 oN, combined with the Niño 3.4 region SST they create a pair that has the best relationship with SPI in the study area. Based on an assessment of the critical value of the Pearson correlation coefficient corresponding to the significance level of 99%, this pair had a good relationship with SPI between October and May of the following year. By conducting a partial correlation analysis when removing the role of Niño 3.4 also showed that SST in the Bien Dong also plays an important role in the fluctuation of SPI in South Vietnam.  
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越南南部标准降水指数与海温的关系分析
本文研究了越南南部海温(SST)与标准降水指数(SPI)的相关系数。本调查的数据为1979 - 2019年越南南部47个站点的降水和NCEP/NCAR再分析的海温场。结果表明,单区域来看,Niño 3.4区域的海表温度与SPI的关系最好。通过多元相关分析,本研究找到了115 oE ~ 130oE之间的区域,纬度在15 oS ~ 25 oN之间,结合Niño 3.4区域海表温度,形成了研究区内与SPI关系最好的一对。根据皮尔逊相关系数的临界值对应99%显著性水平的评估,该对在次年10月至5月与SPI有良好的关系。通过剔除Niño作用后的偏相关分析,3.4也表明边洞海温对南越SPI波动也起着重要作用。
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