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《Journal of Glaciology and Geocryology》 2018-02
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Optimization and validation of the soil heat flux parameterization scheme in permafrost regions along the Qinghai-Tibet Highway

DU Yizhen;LI Ren;WU Tonghua;XIE Changwei;XIAO Yao;HU Guojie;BAI Rui;SHI Jianzong;QIAO Yongping;Cryosphere Research Station on the Qinghai-Tibet Plateau,State Key Laboratory of Cryospheric Sciences,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences;University of Chinese Academy of Sciences;  
Soil heat flux acts as a key role in the surface energy balance,so it is also essential for the calculation and simulation of surface energy balance. Based on the climatology calculation scheme from Weng Duming,a soil heat flux calculation scheme was optimized using soil temperature,moisture and heat flux data along the Qinghai Tibet Highway. Independent data test results showed that compared with original scheme results,the reliability of optimized scheme has been greatly improved. The root mean square error in the Tangula and Xidatan sites had reduced 3. 229 W ·m~(-2) and 4. 821 W ·m~(-2),respectively,and the relative error had reduced 61. 9%and 36. 1%,respectively,so the newscheme can be used to effectively calculate local soil heat flux at the depth of 5 cm. In addition,the optimized scheme was used to simulate soil heat flux at the depth of 5 cm of 11 sites along the Qinghai Tibet Highway,the results showed that the soil heat flux at this depth presented an increasing trend,with a rate of nearly 1 W ·m~(-2) during the past decade. Moreover,the annual average soil heat flux values in all sites were not less than 0. 0 W ·m~(-2),which indicated that local heat had a surplus at the yearly scale.The surplus heat could be used to heat the shallowsoils,causing active layer thickness to increase significantly;when the soil heat flux increases 1. 0 W ·m~(-2),active layer thickness will increase 21 cm or so.
【Fund】: 国家重大科学研究计划项目(2013CBA01803);; 国家自然科学基金项目(41671070;41771076;41271081);国家自然科学基金创新研究群体科学基金项目(41421061);; 中国科学院百人计划项目(51Y551831001)资助
【CateGory Index】: P642.14
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