Heterogeneous Correlation Map Between Estimated ENSO And IOD From ERA5 And Hotspot In Indonesia

Jambura Geoscience Review Pub Date : 2021-07-20 DOI:10.34312/JGEOSREV.V3I2.10443

S. Nurdiati, F. Bukhari, M. T. Julianto, M. Najib, Nuzhatun Nazria

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引用次数: 7

Abstract

El Nino-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) can reduce the amount of rainfall in Indonesia. The previous study found that ENSO and IOD derived from the OISST dataset have an association with hotspots in Indonesia, especially in southern Sumatra dan Kalimantan. But the correlation results are still too small, and the correlation strength between regions has not been analyzed. Therefore, this study quantifies the association of the estimated ENSO and IOD derived from the ERA5 dataset on hotspots in Indonesia based on a Heterogeneous Correlation Map (HCM) and analyzes the correlation strength between regions in Indonesia. We use a singular value decomposition method to quantify this HCM. Besides OISST, ERA5 is an estimation data often used for weather forecast analysis. Therefore, this study quantifies the association of the estimated ENSO and IOD derived from the ERA5 dataset on hotspots in Indonesia based on a Heterogeneous Correlation Map (HCM) and analyzes the correlation strength between regions in Indonesia. Based on variance explained and correlation strength, the hotspot in Indonesia is more sensitive to ENSO and IOD derived from ERA5 than OISST. Consequently, the ERA5 data more useful to statistical analysis that requiring a substantial correlation.

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ERA5估算ENSO和IOD与印尼热点的异质相关图

厄尔尼诺南方涛动（ENSO）和印度洋偶极子（IOD）可以减少印尼的降雨量。先前的研究发现，来自OISST数据集的ENSO和IOD与印度尼西亚的热点地区有关，尤其是苏门答腊岛南部和加里曼丹岛。但相关结果仍然太小，并且尚未分析区域之间的相关强度。因此，本研究基于异质相关图（HCM）量化了从ERA5数据集得出的印尼热点地区ENSO和IOD的估计值之间的关联，并分析了印尼各地区之间的相关性强度。我们使用奇异值分解方法来量化这种HCM。除了OISST之外，ERA5是一种经常用于天气预报分析的估计数据。因此，本研究基于异质相关图（HCM）量化了从ERA5数据集得出的印尼热点地区ENSO和IOD的估计值之间的关联，并分析了印尼各地区之间的相关性强度。根据方差解释和相关强度，印度尼西亚热点对ERA5引起的ENSO和IOD比OISST更敏感。因此，ERA5数据对需要大量相关性的统计分析更有用。

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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来源期刊

Jambura Geoscience Review

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审稿时长

8 weeks