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Ground surface temperature reconstruction for the Jinggangshan Mountains: Interpreting the hydro-thermal coupling pattern in southeastern China
Cai, Qiufang1,2,3; Liu, Yu1,2,3,4; Fang, Congxi1; Zhang, Hanyu1,5; Song, Huiming1,2; Li, Qiang1,2; Sun, Changfeng1; Wan, Chun6; Liu, Ruoshi4
Corresponding AuthorCai, Qiufang(caiqf@ieecas.cn) ; Liu, Yu(liuyu@loess.llqg.ac.cn)
2020-12-01
Source PublicationQUATERNARY SCIENCE REVIEWS
ISSN0277-3791
Volume249Pages:11
AbstractUnderstanding the spatial-temporal variations of climatic factors and hydro-thermal coupling patterns (HTCP) is crucial to forecasting and preparing for future climate change. Based on accurately dated tree rings, we developed the first dekad (10 days)-6 to dekad-27 minimum ground surface temperature (GSTmin6-27) reconstruction for the Jinggangshan Mountains (JGSM) in southeastern China (SC). Spanning the period 1791-2014 AD, this reconstruction explains 57.9% of observed temperature during the instrumental period (1960-2014 AD). Our record exhibits a slow cooling trend before 1834 AD, followed by drastic fluctuations between 1835 and 1850 AD, and progressive warming (R-2 = 0.31) thereafter. The highest GSTmin6-27 variance occurs during the 1820s-1840s and from the 1900s to the early 1930s. Our reconstruction not only captures the characteristics of temperature variability over a large portion of SC, but also reveals decadal-scale temperature fluctuations that are approximately synchronous with conditions across North China and the Northern Hemisphere. This research suggests that the Western Pacific Subtropical High (WPSH) was likely the primary control of GSTmin6-27 variability in the JGSM, while the Pacific Decadal Oscillation (PDO), tropical Indian and western Pacific Ocean sea surface temperatures, along with the North Atlantic Oscillation (NAO), indirectly influenced decadalscale temperature variations. Based on our new reconstruction, we identified regional, decadal-scale differences in the HTCP over SC, with an insignificant warm-dry (cold-wet) coupling pattern dominating the JGSM, and a significant warm-wet (cold-dry) pattern in coastal areas. (C) 2020 Elsevier Ltd. All rights reserved.
KeywordTree ring Southeastern China Ground surface temperature Reconstruction Air-sea interactions Hydro-thermal coupling pattern
DOI10.1016/j.quascirev.2020.106591
WOS KeywordSUMMER HEAT WAVES ; AIR-TEMPERATURE ; 2 CENTURIES ; TREE-RINGS ; VARIABILITY ; PACIFIC ; CLIMATE ; BOREHOLE ; CIRCULATION ; TRENDS
Indexed BySCI ; SCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41671212] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB40010300] ; CAS Key Research Program of Frontier Sciences[QYZDJ SSW DQCO21] ; State Key Laboratory of Loess and Quaternary Geology foundation (SKLLQG)
WOS Research AreaPhysical Geography ; Geology
Funding OrganizationNational Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; CAS Key Research Program of Frontier Sciences ; State Key Laboratory of Loess and Quaternary Geology foundation (SKLLQG)
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary
WOS IDWOS:000589910600010
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/15666
Collection现代环境研究室
第四纪科学与全球变化卓越创新中心
Corresponding AuthorCai, Qiufang; Liu, Yu
Affiliation1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
2.CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China
3.Pilot Natl Lab Marine Sci & Technol Qingdao, Open Studio Ocean Continental Climate & Environm, Qingdao 266061, Peoples R China
4.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian 710049, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Jinggangshan Natl Nat Reserve Adm, Jian 343600, Jiangxi, Peoples R China
Recommended Citation
GB/T 7714
Cai, Qiufang,Liu, Yu,Fang, Congxi,et al. Ground surface temperature reconstruction for the Jinggangshan Mountains: Interpreting the hydro-thermal coupling pattern in southeastern China[J]. QUATERNARY SCIENCE REVIEWS,2020,249:11.
APA Cai, Qiufang.,Liu, Yu.,Fang, Congxi.,Zhang, Hanyu.,Song, Huiming.,...&Liu, Ruoshi.(2020).Ground surface temperature reconstruction for the Jinggangshan Mountains: Interpreting the hydro-thermal coupling pattern in southeastern China.QUATERNARY SCIENCE REVIEWS,249,11.
MLA Cai, Qiufang,et al."Ground surface temperature reconstruction for the Jinggangshan Mountains: Interpreting the hydro-thermal coupling pattern in southeastern China".QUATERNARY SCIENCE REVIEWS 249(2020):11.
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