Arid Zone Research ›› 2014, Vol. 31 ›› Issue (4): 611-618.doi: 10.13866/j.azr.2014.04.05

• Weather and Climate • Previous Articles     Next Articles

Modification of Key Parameters in CoLM

LIU Yong-qiang1,2,3, ALI Mamtimin4,5, HE Qing4,5   

  1. 1. College of Resources & Environmental Sciences, Xinjiang University, Urumqi 830046, Xinjiang, China;
    2. Key Laboratory of Oasis Ecology of the Ministry of Education, Urumqi 830046, Xinjiang, China;
    3. Key Laboratory of City Intellectualizing and Environment Modeling, Xinjiang University, Urumqi 830046, Xinjiang, China;
    4. Institute on Desert Meteorology, China Meteorological Administration, Urumqi 830002, Xinjiang, China;
    5. Taklimakan Desert Atmosphere & Environment Observation and Experiment Station, Tazhong 841000, Xinjiang, China
  • Received:2013-03-25 Revised:2013-05-23 Online:2014-07-15 Published:2014-08-11

Abstract: It is one of the challenges in land modeling to modify and validate the land surface models based on the integrated observation in desert. Particularly, the key parameters and parameterization schemes for desert need to be evaluated in-situ so as to improve the models. In this paper, the land-surface key parameters and modified parameterization schemes in the common land model (CoLM) were calibrated based on the annual data (from October 1, 2008 to September 30, 2009) observed in the hinterland of the Taklimakan Desert, and some data were ignored and removed due to the instrument malfunction or electronic and physical noise, etc. First, aerodynamic roughness length was reevaluated based on the data obtained by Eddy Covariance System and Monin-Obukhov similarity theory; the accuracy of surface emissivity was improved with two different methods, which was calculated by contemporaneous different data; the fixed parameter of surface albedo was revised to parameterization scheme in order to consistent with its annual variation; the scheme of thermal roughness length that performed best was selected to replace the defaulted one; the original values of soil thermal conductivity were equal in 10 layers when the model was run, they were calibrated into different values in different layers. Second, the key parameters and parameterization schemes were revised and simulated in CoLM. The simulated values were compared with the observed ones. Third, the variation of standard deviation between the observation and simulation by revised parameters or parameterization schemes in every month were compared and analyzed.

Key words: CoLM, parameter, parameterization scheme, land surface process, Taklimakan Desert