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利用2008年锦州玉米农田生态系统野外观测站资料对CoLM与BATS1e模型模拟能力进行定量评价。比较发现:两模型对净辐射和表层土壤温度的模拟精度都较高且差异不大,CoLM模型对感热、潜热、土壤热通量、次表层土壤温度模拟能力都不同程度高于BATS1e模型,模拟值对实测值解释能力分别偏高3%、22%、1%、10%,NS(Nash-sutcliffe效率系数)分别偏高1.042、0.266、0.023、0.138。从各月情况看,两模型在7月对感热、潜热模拟能力都较高,而在其它月份CoLM模型模拟精度明显高于BATS1e模型,土壤热通量和次表层土壤温度在5~8月前者模拟精度高于后者。由于CoLM模型对潜热更高精度的模拟可证明其对表层土壤湿度模拟精度高于BATS1e模型。
Quantitative evaluation of CoLM and BATS1e model simulation capability was conducted based on field observations of maize farm ecosystem in Jinzhou in 2008. The results show that the simulation accuracy of net radiation and surface soil temperature is high and the difference is not significant. The CoLM model has much higher degree of heat sensitivity, latent heat, soil heat flux and subsurface soil temperature simulation ability than BATS1e model, The simulative values were 3%, 22%, 1% and 10% higher than the explanatory power of the measured values, respectively, and the NS (efficiency coefficient of Nash-sutcliffe) were 1.042, 0.266, 0.023 and 0.138 respectively higher. From the monthly conditions, the two models showed higher sensible heat and latent heat simulations in July, while the simulation accuracy of CoLM models was significantly higher than that of BATS1e models in other months. The soil heat flux and subsurface soil temperature were between May and August The former simulation accuracy is higher than the latter. Because the CoLM model simulates the latent heat more accurately, it can be proved that the simulation accuracy of the surface soil moisture is higher than that of the BATS1e model.