Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region
文献类型:期刊论文
作者 | Cao, Xuan4,6; Zhang, Guo3,6,8; Chen, Yueli8; Li, Huoqing7; Li, Jianduo3,6,8; Di, Yangchen1,2; Cai, Xitian5 |
刊名 | ATMOSPHERIC RESEARCH
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出版日期 | 2024-12-01 |
卷号 | 311页码:16 |
关键词 | Snow-related parameterization Land surface temperature MODIS product |
ISSN号 | 0169-8095 |
DOI | 10.1016/j.atmosres.2024.107711 |
产权排序 | 6 |
英文摘要 | Snow plays a critical role in modulating surface energy, water cycles, and climate prediction. Optimizing snowrelated parameterizations can enhance the model behaviors in simulating snow-related physical processes and reduce the cold bias observed in winter climate simulations in the Northern Hemisphere. In this study, the topographic complexity and wind speed were incorporated into the parameterization of the snow cover fraction (SCF) and newly fallen snow density (SFD) respectively within the Noah with multi-parameterization (Noah-MP) LSM to optimize the simulation of snow-related processes in the mid-latitude regions of East Asia. A control simulation and three sensitivity experiments were conducted to investigate and quantify the effects of topographic complexity and wind speed on the simulation of snow-related processes and land surface temperature (LST) against MODIS products. The results showed that modifications to the two schemes effectively mitigated the overestimation of snow cover and albedo, and alleviated cold biases in the most of study area. The influence of SFD scheme considering wind speed was more pronounced in regions with more snowfall and higher wind speed, while the SCF scheme considering topographic complexity showed a more widespread effect. The combination of these two modified schemes yielded the best performance. The mean biases of SCF, albedo, and LST over the entire study region with both modified schemes were reduced by 0.126 ( 63 %), 0.044 ( 41 %), and 0.584 degrees C ( 18 %), respectively. Their RMSEs were reduced by 0.119 ( 36 %), 0.036 ( 22 %), and 0.489 degrees C ( 10 %), respectively. This study highlights the importance of wind conditions and topographic complexity in the simulations of snow-related characteristics over the mid-latitudes of Asian region. |
WOS关键词 | TIBETAN PLATEAU ; COVERED AREA ; MODIS ; PARAMETERIZATION ; ALBEDO ; VALIDATION ; IMPACTS ; DEPTH ; ASSIMILATION ; VEGETATION |
资助项目 | National Science Foundation of China[42275094] ; Young scientist foundation of CMA Earth System Modeling and Prediction Center[CEMC-QNJJ-2022015] ; Technology Development Fund of Chinese Academy of Meteorological Sciences[2023KJ016] |
WOS研究方向 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:001347571000001 |
出版者 | ELSEVIER SCIENCE INC |
资助机构 | National Science Foundation of China ; Young scientist foundation of CMA Earth System Modeling and Prediction Center ; Technology Development Fund of Chinese Academy of Meteorological Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/211088] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Zhang, Guo |
作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China 4.Chengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China 5.Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China 6.China Meteorol Adm, CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China 7.China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China 8.China Meteorol Adm, Key Lab Earth Syst Modeling & Predict, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Xuan,Zhang, Guo,Chen, Yueli,et al. Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region[J]. ATMOSPHERIC RESEARCH,2024,311:16. |
APA | Cao, Xuan.,Zhang, Guo.,Chen, Yueli.,Li, Huoqing.,Li, Jianduo.,...&Cai, Xitian.(2024).Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region.ATMOSPHERIC RESEARCH,311,16. |
MLA | Cao, Xuan,et al."Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region".ATMOSPHERIC RESEARCH 311(2024):16. |
入库方式: OAI收割
来源:地理科学与资源研究所
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