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An improvement of soil temperature simulations on the Tibetan Plateau

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The simulation of soil temperature on the Tibetan Plateau (TP) plays a dominant role in the performance of both global cli-mate and numerical weather forecast models. To improve the simulation of soil temperature on the TP, the Johansen soil thermal conductivity parameterization scheme was introduced into Community Land Model 3.5 (CLM3.5) and Regional Climatic Model 4 (RegCM4). The improved CLM3.5 and RegCM4-CLM were utilized to conduct offline and regional simulation experiments on the TP. Comparison of the new and old schemes revealed that CLM3.5 provides high thermal conductivity parameters of mineral soil solid on the TP. The Johansen scheme is more practical for the TP than the soil thermal conductivity parameterization in CLM3.5. The simulation of soil temperature and liquid water content was im-proved in offline experiment. The improved parameterization scheme can also reduce the simulation error of soil temperat-ure in winter throughout the entire TP.

soil temperaturesoil thermal conductivity parameterization schemeTibetan PlateauCLM3.5RegCM4

SiQiong Luo、BoLi Chen、ShiHua Lyu、XueWei Fang、JingYuan Wang、XianHong Meng、LunYu Shang、ShaoYing Wang、Di Ma

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Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China

Changzhou Meteorological Bureau, Changzhou, Jiangsu 213000, China

School of Atmospheric Sciences, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China

Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaSupercomputing Center of Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences

9153710441375077417750164140501541405016

2018

寒旱区科学(英文版)
中国科学院寒区旱区环境与工程研究所,科学出版社有限责任公司

寒旱区科学(英文版)

CSCD
影响因子：0.237
ISSN：1674-3822
年,卷(期)：2018.10(1)
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