Permafrost
Permafrost
Permafrost
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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 />
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