Remote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: the GEWEX/LS4P Phase I experiment
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2023
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Details
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Journal Title:Climate Dynamics
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Personal Author:Xue, Yongkang
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Diallo, Ismaila
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Boone, Aaron A.
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Zhang, Yang
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Zeng, Xubin
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Lau, William K. M.
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Neelin, J. David
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Yao, Tandong
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Tang, Qi
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Sato, Tomonori
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Koo, Myung-Seo
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Vitart, Frederic
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Ardilouze, Constantin
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Saha, Subodh K.
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Materia, Stefano
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Lin, Zhaohui
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Takaya, Yuhei
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Yang, Jing
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Nakamura, Tetsu
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Qi, Xin
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Qin, Yi
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Nobre, Paulo
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Senan, Retish
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Wang, Hailan
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Zhang, Hongliang
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Zhao, Mei
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Nayak, Hara Prasad
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Pan, Yan
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Pan, Xiaoduo
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Feng, Jinming
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Shi, Chunxiang
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Xie, Shaocheng
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Brunke, Michael A.
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Bao, Qing
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Bottino, Marcus Jorge
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Fan, Tianyi
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Hong, Songyou
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Lin, Yanluan
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Peano, Daniele
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Zhan, Yanling
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Mechoso, Carlos R.
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Ren, Xuejuan
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Balsamo, Gianpaolo
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Chou, Sin Chan
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de Rosnay, Patricia
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van Oevelen, Peter J.
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Klocke, Daniel
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Ek, Michael
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Li, Xin
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Guo, Weidong
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Zhu, Yuejian
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Tang, Jianping
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Liang, Xin-Zhong
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Qian, Yun
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Zhao, Ping
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NOAA Program & Office:
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Description:The prediction skill for precipitation anomalies in late spring and summer months—a significant component of extreme climate events—has remained stubbornly low for years. This paper presents a new idea that utilizes information on boreal spring land surface temperature/subsurface temperature (LST/SUBT) anomalies over the Tibetan Plateau (TP) to improve prediction of subsequent summer droughts/floods over several regions over the world, East Asia and North America in particular. The work was performed in the framework of the GEWEX/LS4P Phase I (LS4P-I) experiment, which focused on whether the TP LST/SUBT provides an additional source for subseasonal-to-seasonal (S2S) predictability. The summer 2003, when there were severe drought/flood over the southern/northern part of the Yangtze River basin, respectively, has been selected as the focus case. With the newly developed LST/SUBT initialization method, the observed surface temperature anomaly over the TP has been partially produced by the LS4P-I model ensemble mean, and 8 hotspot regions in the world were identified where June precipitation is significantly associated with anomalies of May TP land temperature. Consideration of the TP LST/SUBT effect has produced about 25–50% of observed precipitation anomalies in most hotspot regions. The multiple models have shown more consistency in the hotspot regions along the Tibetan Plateau-Rocky Mountain Circumglobal (TRC) wave train. The mechanisms for the LST/SUBT effect on the 2003 drought over the southern part of the Yangtze River Basin are discussed. For comparison, the global SST effect has also been tested and 6 regions with significant SST effects were identified in the 2003 case, explaining about 25–50% of precipitation anomalies over most of these regions. This study suggests that the TP LST/SUBT effect is a first-order source of S2S precipitation predictability, and hence it is comparable to that of the SST effect. With the completion of the LS4P-I, the LS4P-II has been launched and the LS4P-II protocol is briefly presented.
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Keywords:
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Source:Climate Dynamics (2023)
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DOI:
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ISSN:0930-7575 ; 1432-0894
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License:
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Rights Information:CC BY
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Compliance:Library
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Main Document Checksum:urn:sha-512:e8c5b3bf943eba7afcd67378f685fb459d4366630d06f3587fb29b2f4ddaa3b0502969c0daad8330086d912cf172c680af0356a256b4572217e5f85911f4c2dd
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