Regional controls on daily to interannual variations of precipitation isotope ratios in Southeast China: Implications for paleomonsoon reconstruction
Regional controls on daily to interannual variations of precipitation isotope ratios in Southeast China: Implications for paleomonsoon reconstruction
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中国东南地区降水同位素比值日变化和年际变化的区域控制:对古季风重建的影响
DOI:
10.1016/j.epsl.2019.115794
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发表时间:
2019-12
影响因子:
5.3
通讯作者:
Jian Yin
中科院分区:
文献类型:
--
作者:
Jiaoyang Ruan;Hongyu Zhang;Zhongyin Cai;Xiaoqiang Yang;Jian Yin
Many key paleomonsoon records in East Asia rely on past precipitation isotope ratios (δ 18 O p) as proxies for hydroclimate, however, the relationship between climate variability and δ 18 O p remains an ongoing debate. Here we investigate dominant climatic drivers and test actively-discussed hypotheses of Southeast China δ 18 O p variability over multiple timescales, using an 8-yr-long daily δ 18 O p record from Guangzhou and updated GNIP dataset from Hong Kong. Our moisture source diagnostic analyses suggest that the primary moisture of Guangzhou precipitation essentially comes from the proximal northern South China Sea (SCS). Convective activities over the primary moisture source regions, measured by cumulative precipitation along back-trajectory, regional precipitation and outgoing longwave radiation, play a key role in regulating δ 18 O p variability across different timescales. These effects can be related to the direct changes of convection intensity over the SCS or the indirect changes associated with the shift of moisture source. In consequence, δ 18 O p records seasonal monsoon dynamics associated with the intertropical convergence zone migration and the El Niño-Southern Oscillation (ENSO). Further tests of different hypotheses and their links to the ENSO via the 2015 strong El Niño event support the above conclusions. Taken together, these results demonstrate that Southeast China δ 18 O p represents a spatial-temporally integrated measure of precipitation and convection tracing from the measured site to moisture sources, shedding light on the interpretation of paleo-isotope data in the monsoon domain.
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影响因子:
6.3
作者:
Tang Y.;Pang H.;Zhang W.;Li Y.;Wu S.;Tang Y.;Hou S.;Wu S.;Hou S.
通讯作者:
Hou S.
影响因子:
12.1
作者:
Zhiguo Rao;Yunxia Li;Jiawu Zhang;Guodong Jia;Fahu Chen
通讯作者:
Fahu Chen
影响因子:
4.4
作者:
Sodemann, H.;Schwierz, C.;Wernli, H.
通讯作者:
Wernli, H.
DOI:
10.1002/2015jd024683
发表时间:
2016-07
期刊:
Journal of Geophysical Research: Atmospheres
影响因子:
--
作者:
H. Yang;K. Johnson;M. Griffiths;K. Yoshimura
通讯作者:
H. Yang;K. Johnson;M. Griffiths;K. Yoshimura
影响因子:
3.8
作者:
Daqing Yang;B. Ye;A. Shiklomanov
通讯作者:
Daqing Yang;B. Ye;A. Shiklomanov