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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/45C5JBH
Repositorysid.inpe.br/mtc-m21d/2021/09.01.14.58
Last Update2021:09.01.14.59.24 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/09.01.14.58.30
Metadata Last Update2022:04.03.22.27.33 (UTC) administrator
DOI10.5194/gmd-14-4465-2021
ISSN1991-959X
Label20210901
Citation KeyXueYBDLZLSTPOKKSLTAMSSNWYZZLNVLZSGTYQSZYLQPQZBCEFGLLWXXLSNPQDFBBFHHHJJKLLMRTWWWZZ:2021:OrExDe
TitleImpact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design
Year2021
MonthJUL 21
Access Date2024, May 19
Secondary TypePRE PI
Number of Files1
Size6490 KiB
2. Context
Author 1 Xue, Yongkang
 2 Yao, Tandong
 3 Boone, Aaron A.
 4 Diallo, Ismaila
 5 Liu, Ye
 6 Zeng, Xubin
 7 Lau, William K. M.
 8 Sugimoto, Shiori
 9 Tang, Qi
10 Pan, Xiaoduo
11 van Oevelen, Peter J.
12 Klocke, Daniel
13 Koo, Myung-Seo
14 Sato, Tomonori
15 Lin, Zhaohui
16 Takaya, Yuhei
17 Ardilouze, Constantin
18 Materia, Stefano
19 Saha, Subodh K.
20 Senan, Retish
21 Nakamura, Tetsu
22 Wang, Hailan
23 Yang, Jing
24 Zhang, Hongliang
25 Zhao, Mei
26 Liang, Xin-Zhong
27 Neelin, J. David
28 Vitart, Frederic
29 Li, Xin
30 Zhao, Ping
31 Shi, Chunxiang
32 Guo, Weidong
33 Tang, Jianping
34 Yu, Miao
35 Qian, Yun
36 Shen, Samuel S. P.
37 Zhang, Yang
38 Yang, Kun
39 Leung, Ruby
40 Qiu, Yuan
41 Peano, Daniele
42 Qi, Xin
43 Zhan, Yanling
44 Brunke, Michael A.
45 Chou, Sin Chan
46 Ek, Michael
47 Fan, Tianyi
48 Guan, Hong
49 Lin, Hai
50 Liang, Shunlin
51 Wei, Helin
52 Xie, Shaocheng
53 Xu, Haoran
54 Li, Weiping
55 Shi, Xueli
56 Nobre, Paulo
57 Pan, Yan
58 Qin, Yi
59 Dozier, Jeff
60 Ferguson, Craig R.
61 Balsamo, Gianpaolo
62 Bao, Qing
63 Feng, Jinming
64 Hong, Jinkyu
65 Hong, Songyou
66 Huang, Huilin
67 Ji, Duoying
68 Ji, Zhenming
69 Kang, Shichang
70 Lin, Yanluan
71 Liu, Weiguang
72 Muncaster, Ryan
73 de Rosnay, Patricia
74 Takahashi, Hiroshi G.
75 Wang, Guiling
76 Wang, Shuyu
77 Wang, Weicai
78 Zhou, Xu
79 Zhu, Yuejian
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Affiliation 1 University of California
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 4 University of California
 5 University of California
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45 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address 1 yxue@geog.ucla.edu
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JournalGeoscientific Model Development
Volume14
Number7
Pages4465-4494
History (UTC)2021-09-01 14:58:30 :: administrator -> simone ::
2021-09-01 14:59:24 :: simone -> administrator :: 2021
2021-09-01 14:59:25 :: administrator -> simone :: 2021
2021-09-01 15:00:26 :: simone -> administrator :: 2021
2022-04-03 22:27:33 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractSubseasonal-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.
AreaMET
Arrangementurlib.net > Produção a partir de 2021 > CGCT > Impact of Initialized...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/45C5JBH
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/45C5JBH
Languageen
Target Filexue_impact_2021.pdf
User Groupadministrator
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Reader Groupadministrator
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Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.57.54 2
DisseminationWEBSCI; PORTALCAPES.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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