남인도양 쌍극자 모드와 연관된 인도 여름 몬순 강우의 시공간적 변동성
Spatio-temporal Variability of Indian Summer Monsoon Rainfall Associated with the Southern Indian Ocean Dipole
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This study aims to investigate the associations between Indian Summer Monsoon Rainfall (ISMR) and the Southern Indian Ocean Dipole (SIOD) variability and the related physical processes by utilizing the observed and reanalysis data from the India Meteorological Department (IMD) and ERA5, respectively. The linear regression analyses have been applied on the India Meteorological Department (IMD) monsoon rainfall data from 1982 to 2021. The results revealed contrasting trends in ISMR between the western and central-eastern regions of India during the monsoon season (June to September). Additionally, spatio-temporal trends in ISMR-related climatic variables indicated the potential correlation with SIOD. Using the SIOD index, detrended correlation and composite difference analyses were performed with ERA5 climatic variables. The findings of this study suggested that the positive phase of SIOD mode could drive contrasting patterns through distinct characteristics of the Arabian Sea and the Bay of Bengal monsoon branches. Understanding the spatio-temporal variability of ISMR is crucial for effective water management and agricultural policies in the region.
Abstract
This study aims to investigate the associations between Indian Summer Monsoon Rainfall (ISMR) and the Southern Indian Ocean Dipole (SIOD) variability and the related physical processes by utilizing the observed and reanalysis data from the India Meteorological Department (IMD) and ERA5, respectively. The linear regression analyses have been applied on the India Meteorological Department (IMD) monsoon rainfall data from 1982 to 2021. The results revealed contrasting trends in ISMR between the western and central-eastern regions of India during the monsoon season (June to September). Additionally, spatio-temporal trends in ISMR-related climatic variables indicated the potential correlation with SIOD. Using the SIOD index, detrended correlation and composite difference analyses were performed with ERA5 climatic variables. The findings of this study suggested that the positive phase of SIOD mode could drive contrasting patterns through distinct characteristics of the Arabian Sea and the Bay of Bengal monsoon branches. Understanding the spatio-temporal variability of ISMR is crucial for effective water management and agricultural policies in the region.
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