气候变化领域集成服务门户(CCPortal): Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China

CCPortal

DOI	10.3390/app11188365
	Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China
	Gao, Liming; Zhang, Lele; Shen, Yongping; Zhang, Yaonan; Ai, Minghao; Zhang, Wei
通讯作者	Gao, LM ; Zhang, LL (通讯作者)，Qinghai Normal Univ, Coll Geog Sci, Xining 810008, Peoples R China. ; Gao, LM ; Zhang, LL (通讯作者)，Qinghai Prov Key Lab Phys Geog & Environm Proc, Xining 810008, Peoples R China. ; Gao, LM ; Zhang, LL (通讯作者)，MOE Key Lab Tibetan Plateau Land Surface Proc & E, Xining 810008, Peoples R China.
发表日期	2021
EISSN	2076-3417
卷号	11 期号:18
英文摘要	Accurate simulation of snow cover process is of great significance to the study of climate change and the water cycle. In our study, the China Meteorological Forcing Dataset (CMFD) and ERA-Interim were used as driving data to simulate the dynamic changes in snow depth and snow water equivalent (SWE) in the Irtysh River Basin from 2000 to 2018 using the Noah-MP land surface model, and the simulation results were compared with the gridded dataset of snow depth at Chinese meteorological stations (GDSD), the long-term series of daily snow depth dataset in China (LSD), and China's daily snow depth and snow water equivalent products (CSS). Before the simulation, we compared the combinations of four parameterizations schemes of Noah-MP model at the Kuwei site. The results show that the rainfall and snowfall (SNF) scheme mainly affects the snow accumulation process, while the surface layer drag coefficient (SFC), snow/soil temperature time (STC), and snow surface albedo (ALB) schemes mainly affect the melting process. The effect of STC on the simulation results was much higher than the other three schemes; when STC uses a fully implicit scheme, the error of simulated snow depth and snow water equivalent is much greater than that of a semi-implicit scheme. At the basin scale, the accuracy of snow depth modeled by using CMFD and ERA-Interim is higher than LSD and CSS snow depth based on microwave remote sensing. In years with high snow cover, LSD and CSS snow depth data are seriously underestimated. According to the results of model simulation, it is concluded that the snow depth and snow water equivalent in the north of the basin are higher than those in the south. The average snow depth, snow water equivalent, snow days, and the start time of snow accumulation (STSA) in the basin did not change significantly during the study period, but the end time of snow melting was significantly advanced.
关键词	LAND MODEL SIMULATIONS BALANCE CLIMATE IMPACT CROCUS SCALE
英文关键词	snow depth; snow water equivalent; ERA-Interim; CMFD; Noah-MP model; microwave remote sensing; Irtysh River Basin
语种	英语
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
WOS类目	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:000699381900001
来源期刊	APPLIED SCIENCES-BASEL
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/254926
作者单位	[Gao, Liming; Zhang, Lele] Qinghai Normal Univ, Coll Geog Sci, Xining 810008, Peoples R China; [Gao, Liming; Zhang, Lele] Qinghai Prov Key Lab Phys Geog & Environm Proc, Xining 810008, Peoples R China; [Gao, Liming; Zhang, Lele] MOE Key Lab Tibetan Plateau Land Surface Proc & E, Xining 810008, Peoples R China; [Shen, Yongping; Zhang, Yaonan; Ai, Minghao; Zhang, Wei] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Gao, Liming,Zhang, Lele,Shen, Yongping,et al. Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China[J]. 中国科学院西北生态环境资源研究院,2021,11(18).
APA	Gao, Liming,Zhang, Lele,Shen, Yongping,Zhang, Yaonan,Ai, Minghao,&Zhang, Wei.(2021).Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China.APPLIED SCIENCES-BASEL,11(18).
MLA	Gao, Liming,et al."Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China".APPLIED SCIENCES-BASEL 11.18(2021).