利用陆面过程模式CLM3.5对黄河源区若尔盖站进行了一年的数值模拟试验，通过比较土壤温度、土壤含水量的观测值与模拟值，检验了该模式在黄河源季节性冻土地区的模拟能力。结果表明，模式对土壤温度的模拟，非冻结期较好，深层土壤温度稍偏高；冻结期模拟值偏低，冻结深度偏大。对土壤含水量的模拟，在冻融期出现了较大偏差，含水量骤降（冻结）、骤增（消融）的时间均较观测提前。模式土壤热传导参数化方案中的土壤基质热导率计算偏大是造成土壤温、湿度偏差的主要原因。将Johansen土壤基质热导率方案替换了原模式参数化方案后，模拟结果有一定的改进，土壤温度暖舌、冷舌的模拟深度显著减小，冻结期土壤温度模拟偏低的现象也得到了改进，土壤含水量骤降、骤增的时间与观测更为接近。
Using observational data from Zoige Station in the source region of the Yellow River, the model CLM3.5 was employed to do a single point simulation. Comparison of the observed and simulated values of soil temperature and moisture verifies the applicability of the model in the seasonal frozen soil area of the source region of the Yellow River. The simulated soil temperature is better during the non-freeze period, though the values are much higher at the deep layer than the observation. But a bias occurs during the freezing period. The simulated temperature is lower and the simulated freezing depth is deeper than the observation. The simulation of soil moisture indicates the start time of freeze and thaw is ahead of time. The thermal conductivity of soil matrix in the model is too large may be the main reason for the deviation. So the sensitive experiment which replaces the original parameterization scheme with the Johansen scheme was done. The new simulated result shows the significant improvement to the original. It matches the observation more closely in the freezing depth and the start time of freeze and thaw. The phenomenon which the simulated temperature is lower than the observation during the freezing period is also improved to some extent.
[1]文军, 蓝永超, 苏中波, 等. 黄河源区陆面过程观测和模拟研究进展[J]. 地球科学进展, 2011, 26(6): 575-585.
[2]罗栋梁, 金会军, 林琳, 等. 黄河源区多年冻土温度及厚度研究新进展[J]. 地理科学, 2012, 32(7): 898-904.
[3]张森琦, 王永贵, 赵永真, 等. 黄河源区多年冻土退化及其环境反映[J]. 冰川冻土, 2004, 26(1): 1-6.
[4]张博, 秦其明, 孙永军, 等. 扎陵湖鄂陵湖近三十年变化的遥感监测与分析[J]. 测绘科学, 2010, 35(4): 54-56.
[5]康悦, 李振朝, 田辉, 等. 黄河源区植被变化趋势及其对气候变化的响应过程研究[J]. 气候与环境研究, 2011, 16(4): 505-512.
[6]陈渤黎, 吕世华, 罗斯琼. CLM3.5模式对青藏高原玛曲站陆面过程的数值模拟研究[J]. 高原气象, 2012, 31(6): 1511-1522.
[7]夏坤, 罗勇, 李伟平. 青藏高原东北部土壤冻融过程的数值模拟[J]. 科学通报, 2011, 56(22): 1828-1838.
[8]李燕, 刘新, 李伟平. 青藏高原地区不同下垫面陆面过程的数值模拟研究[J]. 高原气象, 2012, 31(3): 581-591.
[9]罗斯琼, 吕世华, 张宇, 等. CoLM模式对青藏高原中部BJ站陆面过程的数值模拟[J]. 高原气象, 2008, 27(2): 259-271.
[10]罗斯琼, 吕世华, 张宇, 等. 青藏高原中部土壤热传导率参数化方案的确立及在数值模式中的应用[J]. 地球物理学报, 2009, 52(4): 919-928.
[11]Niu G Y, Yang Z L. Effects of frozen soil on snowmelt runoff and soil water storage at a continental scale[J]. J Hydrometeor, 2006, 7(5): 937-952.
[12]王澄海, 董文杰, 韦志刚. 陆面模式中土壤冻融过程参数化研究进展[J]. 地球科学进展, 2002, 17(1): 44-52.
[13]Penner E. Thermal conductivity of frozen soils[J]. Canadian Journal of Earth Sciences, 1970, 7(3): 982-987.
[14]Chen S X. Thermal conductivity of sands[J]. Heat and Mass Transfer, 2008, 44(10): 1241-1246.
[15]Farouki O T. Thermal properties of soils[R]. DTIC Document, 1981.
[16]Abu-Hamdeh N H. Thermal properties of soils as affected by density and water content[J]. Biosystems Engineering, 2003, 86(1): 97-102.
[17]王少影, 张宇, 吕世华, 等. 玛曲高寒草甸地表辐射与能量收支的季节变化[J]. 高原气象, 2012, 31(3): 605-614.
[18]Luo S, Lü S, Zhang Y. Development and validation of the frozen soil parameterization scheme in Common Land Model[J]. Cold Regions Science and Technology, 2009, 55(1): 130-140.
[19]Johansen O. Thermal conductivity of soils[R]. DTIC Document, 1977.
[20]C?té J, Konrad J M. Thermal conductivity of base-course materials[J]. Canadian Geotechnical Journal, 2005, 42(1): 61-78.
[21]Gong Y, Horton R, Lu S, et al. An improved model for predicting soil thermal conductivity from water content at room temperature[J]. Soil Science Society of America Journal, 2007, 71(1): 8-14.
[22]C?té J, Konrad J M. A generalized thermal conductivity model for soils and construction materials[J]. Canadian Geotechnical Journal, 2005, 42(2): 443-458.
