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temperature are apparent in observed near-surface lapse rates and inversions. To evaluate the<br />

effect of vegetation on ground surface temperature, several heat-transfer coefficients were<br />

estimated, including land cover specific thermal diffusivity and empirical n-factors. The results<br />

of this study will be used to refine spatial temperature fields in complex terrain and to improve<br />

land cover parameterizations currently used in permafrost and climate models.<br />

Key words: air temperature, soil temperature, Alaska, tundra vegetation, permafrost<br />

Modeling the surface energy fluxes and ground thermal regime at Lhasa,<br />

Tibet<br />

Feng Ling 1 , Ting-jun Zhang 2 , Guo-ping Li 3<br />

(1. Software School, Zhaoqing University, Zhaoqing, Guangdong 526061, China; 2 .National Snow<br />

and Ice Data Center, CIRES, University of Colorado, Boulder, Colorado 80309, U.S.A; 3.Department<br />

of Earth and Environment Science, Chengdu University of Information Technology, Chengdu, Sichuan<br />

610072, China<br />

Abstract: Ground surface energy balance in cold regions is a complex function of seasonal<br />

snow cover, vegetation, atmospheric radiation, surface moisture content, and atmosphere<br />

temperature. Thus, the accurate approach for describing ground surface temperature and ground<br />

thermal regime should be through the physically-based models which account for the relevant<br />

processes occurring within, and at the boundaries of permafrost, snow, and atmospheric<br />

components of the natural system. This study models the surface energy balance components<br />

and ground temperature at different depths at Lhasa, Tibet, by using a surface energy balance<br />

approach based heat transfer model. The influence of unfrozen water on the ground thermal<br />

regime was considered, and the effect of snow was included in the model by extending the heat<br />

conduction solution into the snow layer and computing the surface heat balance and the snow<br />

surface temperature. The baseline inputs for the meteorological characteristics are observed<br />

data at a weather station at Lhasa on the Tibetan Plateau during 1998. The net solar radiation,<br />

net longwave radiation, sensitive heat flux, latent heat flux and conductive heat flux were<br />

simulated. The surface and ground soil temperature at different depths also were calculated.<br />

Key words: Surface energy balance; ground thermal regime; finite difference method;<br />

Qinghai-Tibet Plateau<br />

166

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