2018
DOI: 10.1002/joc.5511
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Inter‐decadal change of leading pattern of spring rainfall over southern China during 1901–2010

Abstract: Four distinctive periods (epochs) of spring rainfall over southern China have been identified: 1901–1937, 1938–1958, 1959–1994 and 1995–2010. During the first and third epochs, the centre of the inter‐annual variation of spring rainfall is located in the South China (SC) region, mainly influenced by low‐latitude climate forcing. During the second and fourth epochs, the centre is located in the mid‐lower reaches of the Yangtze River (MLRYR) region, mainly attributed to mid‐ and high‐latitude forcing.

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Cited by 8 publications
(6 citation statements)
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“…The results are consistent with previous studies of interdecadal variations in winter and spring rainfall over South China (e.g., Cheng et al. 2018; Choi et al. 2016; X. F. Wu and Mao 2016; Xu et al.…”
Section: Discussionsupporting
confidence: 93%
“…The results are consistent with previous studies of interdecadal variations in winter and spring rainfall over South China (e.g., Cheng et al. 2018; Choi et al. 2016; X. F. Wu and Mao 2016; Xu et al.…”
Section: Discussionsupporting
confidence: 93%
“…Compared with summer precipitation, the research that focuses on spring [March-May (MAM)] precipitation is less. However, in southern China, spring is also a significant rainy season (Cheng et al 2018). Wu and Mao (2016) noted that the MAM total rainfall exceeds 500 mm over South China, contributing more than 35% of the annual total precipitation over this area (Yang and Lau 2004).…”
Section: Introductionmentioning
confidence: 99%
“…In some decadal epochs, eastern‐type El Niño can generate a southward East Asian jet stream (EAJS) and WNPA, which is favorable for exerting ascending motions and consequent heavy rainfall over South China. In some other epochs, the mid‐to‐high latitude forcing resembling the Eurasian teleconnection wave trains leads to a northward shift of the WNPA, which results in heavy rainfall over the Yangtze River (Cheng et al., 2018). This climate pattern is associated with central Pacific sea surface temperature (SST) warming, indicating distinctive remote impacts of different types of El Niño.…”
Section: Introductionmentioning
confidence: 99%