IMHE OpenIR  > 山地灾害与地表过程重点实验室
Modeling Blowing Snow Over the Tibetan Plateau With the Community Land Model: Method and Preliminary Evaluation
Xie Zhipeng1,2; Hu Zeyong2,3; Ma Yaoming1,3; Sun Genhou4; Gu Lianglei2; Liu Shuang5; Wang Yidan2,6; Zheng Huixuan2,6; Ma Weiqiang1,3
2019
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
Volume124Issue:16Pages:9332-9355
SubtypeArticle
Contribution Rank5
AbstractSnow cover in mountainous terrain plays an important role in regional and global water and energy balances, climate change, and ecosystems. Blowing snow is a frequent and important weather phenomenon over the Tibetan Plateau (TP); however, this process is neglected in most current land surface models, despite the consequential role it plays in the land surface and atmospheric water and energy budgets. In this paper, we present a blowing snow model PIEKTUK coupled with the Community Land Model (CLM4.5) to provide a better estimate of the snow dynamics for the consideration of snow redistribution induced by wind. Two simulations with a 0.065 degrees spatial resolution were performed in 2010 over the TP, namely, a sensitivity experiment with the inclusion of blowing snow effects (CLM_BS) and a control run with the original model (CLM). A specific objective of this study was to evaluate the improvements in the simulations of snow dynamics and other key variables in surface energy partitioning provided by the coupled model, such as the surface albedo and land surface temperature (LST). Compared with a variety of remote-sensing observations, the results show that the surface snow cover, snow depth, and surface albedo can be better reproduced in most of the TP region by CLM_BS than by the original CLM, particularly in the Kunlun Mountains, Hoh Xil area, and the southwestern TP. In areas with reduced bias, variations in the monthly mean snow cover fraction can be reflected particularly well by CLM_BS. For LST, however, a significant decrease in the nighttime LST bias was detected in CLM_BS, while the bias in the daytime LST increases. The results show considerable potential for the inclusion of the blowing snow process to promote the modeling of snow dynamics and land-atmosphere interactions on the TP.
Keywordland surface model blowing snow Tibetan Plateau
DOI10.1029/2019JD030684
Indexed BySCI
Language英语
WOS IDWOS:000490762800025
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/31304
Collection山地灾害与地表过程重点实验室
Corresponding AuthorXie Zhipeng; Ma Weiqiang
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China;
2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou, Gansu, Peoples R China;
3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China;
4.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China;
5.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu, Sichuan, Peoples R China;
6.Univ Chinese Acad Sci, Beijing, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Xie Zhipeng,Hu Zeyong,Ma Yaoming,et al. Modeling Blowing Snow Over the Tibetan Plateau With the Community Land Model: Method and Preliminary Evaluation[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(16):9332-9355.
APA Xie Zhipeng.,Hu Zeyong.,Ma Yaoming.,Sun Genhou.,Gu Lianglei.,...&Ma Weiqiang.(2019).Modeling Blowing Snow Over the Tibetan Plateau With the Community Land Model: Method and Preliminary Evaluation.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(16),9332-9355.
MLA Xie Zhipeng,et al."Modeling Blowing Snow Over the Tibetan Plateau With the Community Land Model: Method and Preliminary Evaluation".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.16(2019):9332-9355.
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