IMPACT PROFILE OF ENSO AND DIPOLE MODE ON RAINFALL AS ANTICIPATION OF HYDROMETEOROLOGICAL DISASTERS IN THE PROVINCE OF SOUTH SUMATRA

M. Ariska, H. Akhsan, M. Muslim
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引用次数: 1

Abstract

El Niño Southern Oscillation (ENSO) is a weather phenomenon in the Pacific Ocean. At the same time, Dipole Mode (DM) is an ocean-atmosphere interaction phenomenon in the Indian Ocean. The area of South Sumatra Province, which is in the Monsunal area, makes the influence of ENSO and DM very instrumental in determining the length of the rainy season and throughout the year. The South Sumatra region is very vulnerable to forest and land fire disasters due to the condition of the area in the form of swamps and peatlands, which are very easy to burn if the dry season occurs in the South Sumatra area. In this study, an analysis of the effect of ENSO and DM on rainfall in the South Sumatra Region from 1981 to 2020 was carried out using a simple linear regression method and the correlation coefficient using Niño 3.4 index data and Dipole Mode with rainfall data and consecutive rainy days data. Consecutive Wet Day (CWD). The purpose of this study was to determine the effect of Enso and Dipole Mode on rainfall and CWD in the South Sumatra Region. The results show that the correlation between ENSO and rainfall is 0.0017-0.002573, DM and rainfall is 0.05972, and ENSO and CWD is -0.068. The correlation between DMI and CWD is 0.513. So it can be said that ENSO and DMI have no effect on rainfall in the South Sumatra Province. Still, the amount of CWD in South Sumatra Province is significantly determined by the Dipole Mode Index (DMI) at a moderate level. The number of consecutive rainy days in South Sumatra Province is influenced by the dynamics of the ocean and atmosphere of the Indian Ocean, which is characterized by the presence of positive IOD and negative IOD phenomena.
enso和偶极子模式对南苏门答腊省水文气象灾害预报降水的影响剖面图
厄尔Niño南方涛动(ENSO)是太平洋的一种天气现象。同时,偶极子模式(DM)是印度洋的一种海洋-大气相互作用现象。南苏门答腊省位于Monsunal地区,因此ENSO和DM的影响在决定雨季和全年的长度方面起着非常重要的作用。南苏门答腊地区由于其沼泽和泥炭地的状况,非常容易发生森林和土地火灾灾害,如果在南苏门答腊地区发生旱季,这些沼泽和泥炭地非常容易燃烧。本文利用Niño 3.4指数资料和偶极子模式,结合降雨资料和连续阴雨天资料,采用简单线性回归方法和相关系数分析了1981 - 2020年ENSO和DM对南苏门答腊地区降雨的影响。连续雨天(CWD)本研究的目的是确定Enso和偶极子模式对南苏门答腊地区降雨和CWD的影响。结果表明:ENSO与降水的相关系数为0.0017 ~ 0.002573,DM与降水的相关系数为0.05972,ENSO与CWD的相关系数为-0.068。DMI与CWD的相关系数为0.513。因此,可以说ENSO和DMI对南苏门答腊省的降雨没有影响。然而,在中等水平上,南苏门答腊省的CWD数量主要由偶极子模式指数(DMI)决定。南苏门答腊省连续阴雨天的数量受印度洋海洋和大气动力学的影响,其特点是存在正IOD和负IOD现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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