气候变化领域集成服务门户(CCPortal): Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design

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DOI	10.5194/gmd-14-4465-2021
	Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design
	Xue, Yongkang; Yao, Tandong; Boone, Aaron A.; Diallo, Ismaila; Liu, Ye; Zeng, Xubin; Lau, William K. M.; Sugimoto, Shiori; Tang, Qi; Pan, Xiaoduo; van Oevelen, Peter J.; Klocke, Daniel; Koo, Myung-Seo; Sato, Tomonori; Lin, Zhaohui; Takaya, Yuhei; Ardilouze, Constantin; Materia, Stefano; Saha, Subodh K.; Senan, Retish; Nakamura, Tetsu; Wang, Hailan; Yang, Jing; Zhang, Hongliang; Zhao, Mei; Liang, Xin-Zhong; Neelin, J. David; Vitart, Frederic; Li, Xin; Zhao, Ping; Shi, Chunxiang; Guo, Weidong; Tang, Jianping; Yu, Miao; Qian, Yun; Shen, Samuel S. P.; Zhang, Yang; Yang, Kun; Leung, Ruby; Qiu, Yuan; Peano, Daniele; Qi, Xin; Zhan, Yanling; Brunke, Michael A.; Chou, Sin Chan; Ek, Michael; Fan, Tianyi; Guan, Hong; Lin, Hai; Liang, Shunlin; Wei, Helin; Xie, Shaocheng; Xu, Haoran; Li, Weiping; Shi, Xueli; Nobre, Paulo; Pan, Yan; Qin, Yi; Dozier, Jeff; Ferguson, Craig R.; Balsamo, Gianpaolo; Bao, Qing; Feng, Jinming; Hong, Jinkyu; Hong, Songyou; Huang, Huilin; Ji, Duoying; Ji, Zhenming; Kang, Shichang; Lin, Yanluan; Liu, Weiguang; Muncaster, Ryan; de Rosnay, Patricia; Takahashi, Hiroshi G.; Wang, Guiling; Wang, Shuyu; Wang, Weicai; Zhou, Xu; Zhu, Yuejian
通讯作者	Xue, YK (通讯作者)，Univ Calif Los Angeles, Los Angeles, CA 90095 USA.
发表日期	2021
ISSN	1991-959X
EISSN	1991-9603
起始页码	4465
结束页码	4494
卷号	14 期号:7
英文摘要	Subseasonal-to-seasonal (S2S) prediction, especially the prediction of extreme hydroclimate events such as droughts and floods, is not only scientifically challenging, but also has substantial societal impacts. Motivated by preliminary studies, the Global Energy and Water Exchanges (GEWEX)/Global Atmospheric System Study (GASS) has launched a new initiative called Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction (LS4P) as the first international grassroots effort to introduce spring land surface temperature (LST)/subsurface temperature (SUBT) anomalies over high mountain areas as a crucial factor that can lead to significant improvement in precipitation prediction through the remote effects of land-atmosphere interactions. LS4P focuses on process understanding and predictability, and hence it is different from, and complements, other international projects that focus on the operational S2S prediction. More than 40 groups worldwide have participated in this effort, including 21 Earth system models, 9 regional climate models, and 7 data groups. This paper provides an overview of the history and objectives of LS4P, provides the first-phase experimental protocol (LS4P-I) which focuses on the remote effect of the Tibetan Plateau, discusses the LST/SUBT initialization, and presents the preliminary results. Multi-model ensemble experiments and analyses of observational data have revealed that the hydroclimatic effect of the spring LST on the Tibetan Plateau is not limited to the Yangtze River basin but may have a significant large-scale impact on summer precipitation beyond East Asia and its S2S prediction. Preliminary studies and analysis have also shown that LS4P models are unable to preserve the initialized LST anomalies in producing the observed anomalies largely for two main reasons: (i) inadequacies in the land models arising from total soil depths which are too shallow and the use of simplified parameterizations, which both tend to limit the soil memory; (ii) reanalysis data, which are used for initial conditions, have large discrepancies from the observed mean state and anomalies of LST over the Tibetan Plateau. Innovative approaches have been developed to largely overcome these problems.
关键词	LONG-TERM DROUGHT SOIL-MOISTURE CUMULUS CONVECTION TIBETAN PLATEAU BOUNDARY-LAYER UNITED-STATES CLIMATE SIMULATIONS DECADAL VARIABILITY BLACK CARBON PART I
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000677475900001
来源期刊	GEOSCIENTIFIC MODEL DEVELOPMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/255205
作者单位	[Xue, Yongkang; Diallo, Ismaila; Liu, Ye; Neelin, J. David; Huang, Huilin] Univ Calif Los Angeles, Los Angeles, CA 90095 USA; [Yao, Tandong; Pan, Xiaoduo; Li, Xin; Wang, Weicai; Zhou, Xu] Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China; [Boone, Aaron A.; Ardilouze, Constantin] Univ Toulouse, CNRS, CNRM, Meteo France, Toulouse, France; [Zeng, Xubin; Brunke, Michael A.] Univ Arizona, Tucson, AZ USA; [Lau, William K. M.; Liang, Xin-Zhong; Xu, Haoran] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; [Sugimoto, Shiori] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Yokohama, Kanagawa, Japan; [Tang, Qi; Xie, Shaocheng; Qin, Yi] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA; [van Oevelen, Peter J.] George Mason Univ, Int GEWEX Project Off, Fairfax, VA 22030 USA; [Klocke, Daniel] Max Planck Inst Meteorol, D-20146 Hamburg, Germany; [Koo, Myung-Seo; Fan, Tianyi; Hong, Songyou] Korea Inst Atmospher Predict Syst, Seoul, South Korea; [Sato, Tomonori; Nakamura, ...
推荐引用方式 GB/T 7714	Xue, Yongkang,Yao, Tandong,Boone, Aaron A.,et al. Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design[J]. 中国科学院西北生态环境资源研究院,2021,14(7).
APA	Xue, Yongkang.,Yao, Tandong.,Boone, Aaron A..,Diallo, Ismaila.,Liu, Ye.,...&Zhu, Yuejian.(2021).Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design.GEOSCIENTIFIC MODEL DEVELOPMENT,14(7).
MLA	Xue, Yongkang,et al."Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design".GEOSCIENTIFIC MODEL DEVELOPMENT 14.7(2021).