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Forecast of summer precipitation in the Yangtze River Valley based on South China Sea springtime sea surface salinity
Zeng, Lili; Schmitt, Raymond W.; Li, Laifang2; Wang, Qiang; Wang, Dongxiao; rschmitt@whoi.edu
2019
Source PublicationCLIMATE DYNAMICS
Volume53Issue:2020-09-10Pages:5495
AbstractAs a major moisture source, the South China Sea (SCS) has a significant impact on the summer precipitation over China. The ocean-to-land moisture transport generates sea surface salinity (SSS) anomalies that can be used to predict summer precipitation on land. This study illustrates a high correlation between springtime SSS in the central SCS and summer precipitation over the middle and lower Yangtze River Valley (the YRV region). The linkage between spring SSS in the central SCS and summer YRV precipitation is established by ocean-to-land moisture transport by atmospheric processes and land-atmosphere soil moisture feedback. In spring, oceanic moisture evaporated from the sea surface generates high SSS in the central SCS and directly feeds the precipitation over southern China and the YRV region. The resulting soil moisture anomalies last for about 3 months triggering land-atmosphere soil moisture feedback and modulating the tropospheric moisture content and circulation in the subsequent summer. Evaluation of the atmospheric moisture balance suggests both a dynamic contribution (stronger northward meridional winds) and a local thermodynamic contribution (higher tropospheric moisture content) enhance the summer moisture supply over the YRV, generating excessive summer precipitation. Thus, spring SSS in the SCS can be utilized as an indicator of subsequent summer precipitation over the YRV region, providing value for operational climate prediction and disaster early warning systems in China.
KeywordSouth China Sea Yangtze River Valley Sea surface salinity Moisture flux Summer precipitation
Funding OrganizationNational Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41776025, 41476014, 41606030, 41806027, 41806035]; NSFNational Science Foundation (NSF) [ICER-1663704]; Pearl River S&T Nova Program of Guangzhou [201906010051]; Innovation Academy of South China Sea Ecology and Environmental Engineering (ISEE), Chinese Academy of Sciences; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); [NSF-ICER-1663138] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41776025, 41476014, 41606030, 41806027, 41806035]; NSFNational Science Foundation (NSF) [ICER-1663704]; Pearl River S&T Nova Program of Guangzhou [201906010051]; Innovation Academy of South China Sea Ecology and Environmental Engineering (ISEE), Chinese Academy of Sciences; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); [NSF-ICER-1663138]
DOI10.1007/s00382-019-04878-y
Funding OrganizationNational Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41776025, 41476014, 41606030, 41806027, 41806035]; NSFNational Science Foundation (NSF) [ICER-1663704]; Pearl River S&T Nova Program of Guangzhou [201906010051]; Innovation Academy of South China Sea Ecology and Environmental Engineering (ISEE), Chinese Academy of Sciences; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); [NSF-ICER-1663138] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41776025, 41476014, 41606030, 41806027, 41806035]; NSFNational Science Foundation (NSF) [ICER-1663704]; Pearl River S&T Nova Program of Guangzhou [201906010051]; Innovation Academy of South China Sea Ecology and Environmental Engineering (ISEE), Chinese Academy of Sciences; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); [NSF-ICER-1663138]
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/18202
Collection热带海洋环境国家重点实验室(LTO)
Affiliation1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog LTO, Guangzhou 510301, Guangdong, Peoples R China
2.Schmitt, Raymond W.] Woods Hole Oceanog Inst, Phys Oceanog Dept, Woods Hole, MA 02543 USA
3.Duke Univ, Nicholas Sch Environm, Earth & Ocean Sci, Durham, NC 27708 USA
Recommended Citation
GB/T 7714
Zeng, Lili,Schmitt, Raymond W.,Li, Laifang,et al. Forecast of summer precipitation in the Yangtze River Valley based on South China Sea springtime sea surface salinity[J]. CLIMATE DYNAMICS,2019,53(2020-09-10):5495, 5509.
APA Zeng, Lili,Schmitt, Raymond W.,Li, Laifang,Wang, Qiang,Wang, Dongxiao,&rschmitt@whoi.edu.(2019).Forecast of summer precipitation in the Yangtze River Valley based on South China Sea springtime sea surface salinity.CLIMATE DYNAMICS,53(2020-09-10),5495.
MLA Zeng, Lili,et al."Forecast of summer precipitation in the Yangtze River Valley based on South China Sea springtime sea surface salinity".CLIMATE DYNAMICS 53.2020-09-10(2019):5495.
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