BCC_AVIM模式在陆面潜热通量模拟中忽略了分子扩散速率、植被凋落物以及干燥表层厚度对水汽传导率的影响，基于此，本文针对陆面潜热通量模拟考虑了上述详细的物理过程，并研究这些过程对模拟的影响。考虑的物理过程主要包括：（1）分子经土壤孔隙到干燥表层的扩散速率以及植物凋落覆盖物对水汽传导的影响（下称S-Z方案）；（2）土壤干燥表层厚度对水汽传导的影响（下称S-L方案）；（3）综合考虑 S-Z方案与 S-L方案中的物理过程对水汽传导的影响，下称 SZ-SL方案。为更好地研究其在不同下垫面的敏感性，选取了平坦均匀的高寒草甸玛曲站和地形复杂的川南林区四峨山站观测资料对不同参数化方案的模拟效应进行检验。结果如下：（1）BCC_AVIM模式能较好再现四峨山站和玛曲站土壤温湿度、感潜热通量等要素的变化趋势，但模拟值与实测值存在一定程度偏差；（2）在BCC_AVIM模式的基础上，引入更详细的物理过程，两个站点的潜热通量模拟值得到了显著改善，其中S-Z方案的模拟结果与实测值最为接近，四峨山站皮尔逊相关系数（R）由0. 68提升至0. 74，平均绝对百分误差（MAPE）降低 10. 7%，均方根误差（RMSE）减少 4 W·m-2；玛曲站 R 由 0. 15 提升至 0. 62，MAPE 降低 5. 7%，RMSE 减少 11. 2 W·m-2；（3）两个站点土壤温湿度模拟结果显示，相较于原有方案，考虑更详细的物理过程后的方案，升高了土壤温度、土壤湿度模拟值，增强了与实测值的相关性，其中S-Z方案为两个站点土壤温度模拟最佳方案，S-L方案为四峨山站土壤湿度模拟最优参数化方案，SZ-SL方案为玛曲站土壤湿度模拟最优参数化方案；（4）通过考虑了更详细的物理过程，不仅显著提高了潜热通量的模拟准确度，同时也增强了对土壤温度和土壤湿度的模拟能力，但感热通量的改善程度仍然有限。

The BCC_AVIM model neglects the effects of molecular diffusion rate，vegetation litter and dry sur‐ face layer thickness on water vapour conductivity in the simulation of latent heat fluxes at the land surface. Based on this，this paper considers the above detailed physical processes for the simulation of latent heat fluxes at the land surface，and focuses on the effects of these processes on the simulation. The physical processes considered mainly include（1）the diffusion rate of molecules through the soil pores to the drying surface layer and the effect of plant apoplastic cover on the water vapour conductivity（Sakaguchi and Zeng，2009，hereafter referred to as the S-Z scheme）；（2）the effect of the thickness of the drying surface layer of soil on the water vapour conductivity（Swenson and Lawrence，2014，hereafter referred to as the S-L scheme）；and（3）the effect of physical processes on water vapour conductivity in the combined S-Z and S-L schemes，hereafter referred to as the SZ-SL scheme. In order to better study its sensitivity in different subsurfaces，observations from the flat and uniform al‐ pine meadow Maqu station and the complex topography of Si'e Mountain station in Southern Sichuan Forest were selected to examine the simulated effects of different parameterisation schemes. The results are as follows：（1） The BCC_AVIM model can better reproduce the trends of soil temperature and humidity，sensible latent heat fluxes and other elements at Si'e Mountain and Maqu stations，but the simulated values deviate from the measured values to a certain extent；（2）Based on the BCC_AVIM model，the simulated latent heat fluxes at the two stations are significantly improved by the introduction of more detailed physical processes，with the simulated results of the S-Z scheme being the closest to the measured values，and the simulated results of the S-Z scheme being the closest to the measured values. were closest to the measured values，with the Pearson's correlation coefficient（R）of Si'e Mountain station improved from 0. 68 to 0. 74，the mean absolute percentage error（MAPE）reduced by 10. 7%，and the root mean square error（RMSE）reduced by 4. 0 W·m-2；the R of Maqu station was improved from 0. 15 to 0. 62，the MAPE was reduced by 5. 7%，and the RMSE was reduced by 11. 2 W·m-2； （3）the simulation results of the two stations' soil temperature and humidity simulation results show that com‐ pared with the original scheme，the scheme after considering more detailed physical processes increases the simulated values of soil temperature and soil humidity and enhances the correlation with the measured values，of which the S-Z scheme is the optimal scheme for soil temperature simulation at the two stations，the S-L scheme is the optimal parameterization scheme for soil humidity simulation at Si'e Mountain station，and the SZ-SL scheme is the optimal parameterization scheme for soil moisture simulation at Maqu station. scheme；（4）by considering more detailed physical processes，not only the simulation accuracy of latent heat fluxes is significantly improved，but also the simulation ability of soil temperature and soil moisture is enhanced，but the improvement of sensible heat fluxes is still limited.