Maritime Continent salinity as a new predictor for South Asian summer monsoon rainfall

被引:0
|
作者
Fuan Xiao [1 ]
Mathew Koll Roxy [2 ]
Dongxiao Wang [3 ]
机构
[1] Guangzhou University,School of Geography and Remote Sensing
[2] Southern Marine Science and Engineering Guangdong Laboratory,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography
[3] Ministry of Natural Resources,Centre for Climate Change Research
[4] Indian Institute of Tropical Meteorology,School of Marine Sciences
[5] Ministry of Earth Sciences,undefined
[6] Sun Yat-sen University,undefined
关键词
Sea surface salinity; Indian summer monsoon rainfall; Moisture transport; Land-to-atmosphere feedback; P-E model;
D O I
10.1007/s00382-024-07468-9
中图分类号
学科分类号
摘要
On the basis of the synergistic seasonal evolution of sea surface salinity over the Maritime Continent (MC SSS) and South Asian rainfall, the singular value decomposition analysis is used to identify a robust coupled mode between springtime MC SSS and South Asian summer monsoon rainfall (SASMR). High MC SSS is accompanied by a SASMR dipole (suppressed rainfall in northern India and enhanced rainfall in the eastern Tibetan Plateau), which is largely caused by the negative and positive moisture flux convergence associated with ocean-to-land moisture transport. In addition, the negative rainfall anomalies in northern India decrease evapotranspiration and further suppress Indian summer monsoon rainfall (ISMR) because of land-to-atmosphere feedback. The seasonal forecast of ISMR can be improved by incorporating SSS into a physics-based empirical model, which was selected according to adjusted R2 values, Mallows’ Cp values, and cross-validation. In this study, we found that a new predictor (ocean salinity) over the MC region can improve ISMR prediction, which highlights the importance of enhanced monitoring of salinity in the MC region.
引用
收藏
页码:10651 / 10667
页数:16
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