Impact of sea surface temperature in the Arabian Sea on the variability of Summer Monsoon Rainfall over Pakistan Region

IF 1.9 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
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Abstract

The seas and oceans are essential in preserving energy in the Earth, Ocean, and atmosphere system. Assessing past trends and expected sea surface temperature (SST) shifts is critical for future climate scenarios within this framework. Previous studies have emphasized the importance of SST in the emergence and intensification of heavy rainfall events in the South Asian basin and the development of heat waves in the coastal regions of South Asia. This study has focused to investigate the relationship between SST of the Arabian Sea and mean rainfall in South Asia using Singular Value Decomposition Analysis (SVDA) for the July, August, and September (JAS) season, as most of the region's rainfall is in this season. The first mode accounts for 69 % of the covariance between Arabian Sea SST and regional JAS rainfall, with three dominant SVDA modes explaining 96 % of the total squared covariance. The degree to which the connected fields are correlated has been investigated using Root Mean Squared Covariance. By heterogeneous correlation maps, it is concluded how significant is the impact of one field (SST) on the other (rainfall), which validates our hypothesis that the SST of the Arabian Sea affects variation in precipitation. The empirical results from the SVDA are consistent with those of the composite diagrams. Dry and wet years have been defined and analyzed to examine the impact of SST on regional JAS rainfall further. Vertically integrated moisture transport reveals a significant difference in moisture transport over the Arabian Sea between wet and dry years during the JAS season. Water vapor transport is much stronger during wet years compared to dry years.

阿拉伯海海面温度对巴基斯坦地区夏季季风降雨量变化的影响
海洋对地球、海洋和大气系统的能量保存至关重要。评估过去的趋势和预期的海面温度(SST)变化对于在此框架内制定未来气候方案至关重要。以往的研究强调了海表温度在南亚盆地暴雨事件的出现和加剧以及南亚沿海地区热浪发展中的重要性。本研究的重点是利用奇异值分解分析法(SVDA)研究阿拉伯海 SST 与南亚 7 月、8 月和 9 月(JAS)平均降雨量之间的关系,因为该地区的大部分降雨都发生在这个季节。第一种模式占阿拉伯海 SST 与区域 JAS 降雨量之间协方差的 69%,三种主要 SVDA 模式占总平方协方差的 96%。利用均方根协方差研究了相连场的相关程度。通过异质相关图,可以得出一个领域(海温)对另一个领域(降水)的影响有多大,从而验证了我们的假设,即阿拉伯海的海温会影响降水量的变化。SVDA 的实证结果与综合图表的结果一致。对干年和湿年进行了定义和分析,以进一步研究 SST 对 JAS 区域降水的影响。垂直综合水汽输送显示,在阿拉伯海的歼击航空季节,干年和湿年的水汽输送存在显著差异。与干旱年相比,潮湿年的水汽输送要强得多。
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来源期刊
Dynamics of Atmospheres and Oceans
Dynamics of Atmospheres and Oceans 地学-地球化学与地球物理
CiteScore
3.10
自引率
5.90%
发文量
43
审稿时长
>12 weeks
期刊介绍: Dynamics of Atmospheres and Oceans is an international journal for research related to the dynamical and physical processes governing atmospheres, oceans and climate. Authors are invited to submit articles, short contributions or scholarly reviews in the following areas: •Dynamic meteorology •Physical oceanography •Geophysical fluid dynamics •Climate variability and climate change •Atmosphere-ocean-biosphere-cryosphere interactions •Prediction and predictability •Scale interactions Papers of theoretical, computational, experimental and observational investigations are invited, particularly those that explore the fundamental nature - or bring together the interdisciplinary and multidisciplinary aspects - of dynamical and physical processes at all scales. Papers that explore air-sea interactions and the coupling between atmospheres, oceans, and other components of the climate system are particularly welcome.
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