摘要

Driven by GLDAS forcing data, the Noah-MP land surface model is used to evaluate its performance in simulating sensible and latent heat flux at six observation stations(Qomolangma Atmospheric and Environmental Observation and Research Station, QOMS;Nam Co Monitoring and Research Station for Multisphere Interactions, NAMOR;Ngari Desert Observation and Research Station, NASDE;Southeast Tibet Observation and Research Station for the Alpine Environment, SETS;Muztagh Ata Westerly Observation and Research Station, MASWE;Nagqu Station of Plateau Climate and Environment, NPCE)of different regions over Qinghai-Tibetan Plateau. The results with default multiple parameterization options indicate that comparing with the observations, the sensible heat flux is overestimated at most stations and in QOMS’s winter and spring, but underestimated in summer and autumn at this site. The latent heat flux is distinct in different stations and seasons:With better result at SETS, overestimated at QOMS and in NASDE’s spring, underestimated at MASWE, in NAMOR’s autumn and winter and NPCE’s summer. By analyzing the sensitivity of simulation results with different multiple parameterization options to select better combinations of these options which are more suitable for each station. New combinations give better root mean square error and correlation coefficient to simulations at a whole year level, but specific seasons at some stations have larger errors. This method provides accurate information of energy exchange and a reference for land surface and coupling models to the simulate heat source at these sites.