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DOI10.1029/2021MS002670
Impact and Sensitivity Analysis of Soil Water and Heat Transfer Parameterizations in Community Land Surface Model on the Tibetan Plateau
Deng, Mingshan; Meng, Xianhong; Lu, Yaqiong; Li, Zhaoguo; Zhao, Lin; Hu, Zeyong; Chen, Hao; Shang, Lunyu; Wang, Shaoying; Li, Qian
通讯作者Meng, XH (通讯作者),Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China. ; Meng, XH (通讯作者),Chinese Acad Sci, Zoige Plateau Wetlands Ecosyst Res Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China.
发表日期2021
EISSN1942-2466
卷号13期号:9
英文摘要Soil water and heat transfer is especially complicated during the freezing and thawing processes over the high-altitude cold regions. In this study, four sensitivity tests of soil water and heat transfer parameterizations including replacing soil property data (SP1), soil resistance scheme modification (SP2), soil thermal conductivity scheme (SP3) and virtual temperature scheme (SP4), and four combination experiments (SP1+SP2+SP3/SP5, SP1+SP2+SP4/SP6, SP1+SP3+SP4/SP7, and SP1+SP2+SP3+SP4/SP8) were done using Community Land Model (CLM5.0) to examine its performances for soil water and heat transfer modeling on the Tibetan Plateau (TP) both in single-point and regional simulations. The observed data from five eddy covariance sites, four soil moisture and temperature networks and 60 sites of soil temperature observations on the TP were used to evaluate the results. Single-point simulations show that SP2 experiment reduced the wet biases of soil moisture in semiarid area, but enhanced the error of soil temperature. SP6 shows the best performances in simulating soil moisture, and SP3 in soil temperature. Regional simulations show that the SP7 experiment had the best performances for soil water and heat transfer simulation on the TP, and improved the simulation of soil freezing-thawing processes. Compared to CLM5.0 default simulation, SP7 shows the best performances. For soil moisture, it reduced average Bias by 23%, Root Mean Square Error (RMSE) by 18%, and increased the Correlation Coefficient (Corr) by2%. For soil temperature, it reduced the Bias by 9%, 10%, 23%, and 13% at four soil depths on the TP, respectively.
关键词FREEZE-THAW PROCESSESTHERMAL-CONDUCTIVITYFROZEN SOILMOISTUREFLUXES
英文关键词land surface model; soil thermal conductivity; soil moisture; soil temperature; Tibetan Plateau
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000702262000011
来源期刊JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
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/254201
作者单位[Deng, Mingshan; Meng, Xianhong; Li, Zhaoguo; Zhao, Lin; Hu, Zeyong; Chen, Hao; Shang, Lunyu; Wang, Shaoying] Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China; [Deng, Mingshan; Meng, Xianhong; Li, Zhaoguo; Zhao, Lin; Chen, Hao; Shang, Lunyu; Wang, Shaoying] Chinese Acad Sci, Zoige Plateau Wetlands Ecosyst Res Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China; [Deng, Mingshan] Univ Chinese Acad Sci, Beijing, Peoples R China; [Lu, Yaqiong] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China; [Li, Qian] Lanzhou Cent Meteorol Observ, Lanzhou, Peoples R China
推荐引用方式
GB/T 7714
Deng, Mingshan,Meng, Xianhong,Lu, Yaqiong,et al. Impact and Sensitivity Analysis of Soil Water and Heat Transfer Parameterizations in Community Land Surface Model on the Tibetan Plateau[J]. 中国科学院西北生态环境资源研究院,2021,13(9).
APA Deng, Mingshan.,Meng, Xianhong.,Lu, Yaqiong.,Li, Zhaoguo.,Zhao, Lin.,...&Li, Qian.(2021).Impact and Sensitivity Analysis of Soil Water and Heat Transfer Parameterizations in Community Land Surface Model on the Tibetan Plateau.JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,13(9).
MLA Deng, Mingshan,et al."Impact and Sensitivity Analysis of Soil Water and Heat Transfer Parameterizations in Community Land Surface Model on the Tibetan Plateau".JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 13.9(2021).
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