Ocean Salinity as a Precursor of Summer Rainfall over the East Asian Monsoon Region

被引:11
|
作者
Chen, Biao [1 ,2 ]
Qin, Huiling [3 ,4 ]
Chen, Guixing [3 ,4 ,5 ]
Xue, Huijie [1 ,6 ]
机构
[1] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China
[2] Univ Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
[3] Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China
[4] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
[5] Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China
[6] Univ Maine, Sch Marine Sci, Orono, ME 04469 USA
基金
中国国家自然科学基金;
关键词
Rainfall; Air-sea interaction; Atmosphere-land interaction; Salinity; Soil moisture; SEA-SURFACE SALINITY; TROPICAL SST ANOMALIES; SOIL-MOISTURE; WESTERN PACIFIC; EL-NINO; INTERANNUAL VARIABILITY; PRECIPITATION FEEDBACK; ATMOSPHERIC WATER; CHINA; ENSO;
D O I
10.1175/JCLI-D-18-0756.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The sea surface salinity (SSS) varies largely as a result of the evaporation-precipitation difference, indicating the source or sink of regional/global water vapor. This study identifies a relationship between the spring SSS in the tropical northwest Pacific (TNWP) and the summer rainfall of the East Asian monsoon region (EAMR) during 1980-2017. Analysis suggests that the SSS-rainfall link involves the coupled ocean-atmosphere-land processes with a multifacet evolution. In spring, evaporation and water vapor flux divergence were enhanced in some years over the TNWP where an anomalous atmospheric anticyclone was established and a high SSS was well observed. As a result, the convergence of water vapor flux and soil moisture over the EAMR was strengthened. This ocean-to-land water vapor transport pattern was sustained from spring to summer and played a leading role in the EAMR rainfall. Moreover, the change in local spring soil moisture helped to amplify the summer rainfall by modifying surface thermal conditions and precipitation systems over the EAMR. As the multifacet evolution is closely related to the large-scale ocean-to-land water vapor transport, it can be well represented by the spring SSS in the TNWP. A random forest regression algorithm was used to further evaluate the relative importance of spring SSS in predicting summer rainfall compared to other climate indices. As the SSS is now monitored routinely by satellite and the global Argo float array, it can serve as a good metric for measuring the water cycle and as a precursor for predicting the EAMR rainfall.
引用
收藏
页码:5659 / 5676
页数:18
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