With the global climate change and the aridification in northern China, more and more studies have focused on the land-atmosphere interactions in arid/semi-arid areas. The goal of this presentation is to evaluate land surface models BATS, LSM, and CoLM in semi-arid areas using the Coordinated Enhanced Observing Period (CEOP) data, with an emphasis on comparison of the performance of the three models in semi-arid regions. The results show that all of the three models can simulate the diurnal and seasonal cycle of the fluxes between land surface and atmosphere in this region, but the performance varies largely among them. For the simulations of the ground surface temperature and ground emitted longwave radiation, BATS is better than LSM and CoLM. As to sensible and latent heat flux, CoLM and LSM are better, and CoLM is! The best. The performance of the three models varies with seasons, with summer better than winter. It is significant that all three models can not simulate the latent heat flux well in winter, which indicates that the current LSMs should pay more attention to improve the simulating performance in semi-arid areas in winter.%随着全球气候变化和伴随而来的日益严重的干旱化问题,干旱/半干旱地区的陆气相互作用引起了越来越多的重视.利用国际协同强化观测期(CEOP)观测资料对3个不同的陆面过程模式BATS、LSM和CoLM在半干旱区通榆站进行了模拟检验与对比,考察了不同陆面过程模式对半干旱地区的模拟性能.结果表明,3个模式都可以较好地模拟出半干旱地区地气间的能量通量的季节和日变化,但模拟性能存在较大差异.对于地表温度和出射长波辐射的模拟,BATS表现最优;而对于感热和潜热通量的模拟,CoLM和LSM要好于BATS,其中CoLM的表现最好.各模式的模拟性能随着季节不同存在着很大的差异,夏季的模拟要好于冬季,3个模式都不能很好地模拟冬季该地区的潜热通量,说明对半干旱地区冬季地表过程的刻画还有待进一步提高.
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