摘要：Core Ideas Liquid soil moisture controls seasonal variations in soil albedo. Solar zenith angle determines diurnal variations in soil albedo. Soil optical parameter values can be reasonably estimated from soil composition. The simulated surface energy budget in summer is considerably improved. Soil albedo controls the surface energy budget on the Tibetan Plateau (TP); however, estimates of the soil albedo include substantial uncertainties. This study presents a physically based soil albedo parameterization that includes the effects of the solar zenith angle and liquid soil moisture. The parameter values are calibrated and validated using the measurements from the Global Energy and Water Cycle Experiment–Asian Monsoon Experiment and the Coordinated Enhanced Observing Period Asia–Australia Monsoon Project (CAMP‐Tibet). Because few measurements of albedo are available from the TP, a transfer equation was built to estimate the parameter values through their inverse physical links with the soil composition. Compared with previous parameterizations, the parameter values from the transfer equation reduce the simulated mean bias and RMSE values by nearly 50%. Comparisons of the observed albedos and simulated values obtained using the new parameterization show that the correlation values are >0.5 and that the absolute errors (dimensionless) are within ±0.05. The new parameterization captures the diurnal and seasonal variations better than the previous schemes and shows that the diurnal and seasonal variations in soil albedo are controlled by the solar zenith angle and liquid soil moisture, respectively. This new parameterization scheme was incorporated into the Geomorphology‐Based Eco‐Hydrological Model and run for the CAMP‐Tibet stations. The inclusion of this new parameterization significantly improved the simulated surface energy budget in summer; the deviations in the upward shortwave radiation decreased by 81%, and the accuracy of the simulated Bowen ratio increased substantially.
关键词：BM; mean bias; CMA; China Meteorological Administration; CAMP-Tibet; Coordinated Enhanced Observing Period Asia–Australia Monsoon Project; GAME-Tibet; Global Energy and Water Cycle Experiment–Asian Monsoon Experiment; GBEHM; Geomorphology-Based Eco-Hydrological Model; GCM; global climate model; LAI; leaf area index; LSM; land surface model; RCM; regional climate model; TP; Tibetan Plateau.
