Testing and Improving the Performance of the Common Land Model:A Case Study for the Gobi Landscape  

作　　者：Chao WANG Zhigang WEI Zhenchao LI Tiangui XIAO Xiaohang WEN Chao WANG Zhigang WEI Zhenchao LI Tiangui XIAO Xiaohang WEN(College of Atmospheric Sciences, Chengdu University of Information Technology~Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu 610226 State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875 Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000)

机构地区：[1]College of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province [2]State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University [3]Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions,Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences

出　　处：《Journal of Meteorological Research》2017年第3期625-632,共8页气象学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(41375001,41675017,91337215,4157066,and 41305076);China Meteorological Administration Special Public Welfare Research Fund(GYHY201406015);National Science and Technology Support Program of China(2015BAC03B05);National Basic Research and Development Program of China(2013CB733206);Scientific Research Fund of Chengdu University of Information Technology(CRF201606)

摘　　要：Land surface processes take place on the interface between the earth and atmosphere, exerting significant influ- ences on the weather and climate. Correct modeling of these processes is important to numerical weather forecast and climate prediction. In order to obtain a more thorough understanding of the land surface processes over the Gobi landscape, we evaluated the performance of the Common Land Model （CoLM） at Dunhuang station in Gansu Province of China to determine whether the model formulation, driven by observational data, is capable of simulat- ing surface fluxes over the underlying desert surface. In comparison with the enhanced observation data collected at Dunhuang station over the period 22-28 August 2008, the results showed that the surface albedo simulated by CoLM was larger than that in the observation, and the simulated surface temperature was lower than the observed. After the measured values were used to correct the surface albedo, the solar radiation absorbed by the ground surface was more consistent with the measurements. A new empirical relationship of the surface thermal exchange coefficient r~ was used to modify the thermal aerodynamic impedance. The simulated soil surface temperature became significantly closer to the observed value, and the simulated surface sensible heat as well as net radiative fluxes were also im- proved,Land surface processes take place on the interface between the earth and atmosphere, exerting significant influ- ences on the weather and climate. Correct modeling of these processes is important to numerical weather forecast and climate prediction. In order to obtain a more thorough understanding of the land surface processes over the Gobi landscape, we evaluated the performance of the Common Land Model （CoLM） at Dunhuang station in Gansu Province of China to determine whether the model formulation, driven by observational data, is capable of simulat- ing surface fluxes over the underlying desert surface. In comparison with the enhanced observation data collected at Dunhuang station over the period 22-28 August 2008, the results showed that the surface albedo simulated by CoLM was larger than that in the observation, and the simulated surface temperature was lower than the observed. After the measured values were used to correct the surface albedo, the solar radiation absorbed by the ground surface was more consistent with the measurements. A new empirical relationship of the surface thermal exchange coefficient r~ was used to modify the thermal aerodynamic impedance. The simulated soil surface temperature became significantly closer to the observed value, and the simulated surface sensible heat as well as net radiative fluxes were also im- proved,

关 键 词：land surface model numerical simulation parameterization scheme 

分 类 号：P435[天文地球—大气科学及气象学]