科研之友
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摘要
Based on multi-level AWS data during 2001 to 2015 and eddy covariance data during 2011 to 2014 from Nagqu Station of Plateau Climate and Environment, the turbulent fluxes were calculated by a surface energy balance combination (CM) and eddy covariance method (EC). The EC fluxes are compared to the CM fluxes. Therefore, a long-term heat fluxes and surface heat source were obtained. The further results are also obtained: The energy closure ratio is close to 1 in spring, summer, autumn and throughout the year. In winter, the energy closure ratio is 1. 34, because radiation observation value is small. From 2002 to 2015, sensible heat flux shows a ascend trend, while latent heat flux shows a descend trend. The surface heat sourceshows a descend trend. The analysis of the surface heat source indicates that it has a significant relationship withnet radiationflux, surface temperature, soil moisture and wind speed. Particularly, thesurfaceheat source has a significant response to net radiationflux throughout the year, the great influence of surface temperatureon the surface heat source in spring autumn and winter is strong, the great influence of soil moisture on the surface heat source in spring summer and autumn is strong, and the influence of wind speedson surface heat source isstrong in spring. The annual variation of sensible heat flux and latent heat flux are obvious. Sensible heat flux reaches the maximum value of the year in April and the minimum value in July, however, latent heat flux shows the maximum value in July and the mini-mum value in January.
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