引用本文: 代成颖, 高志球, 王琳琳, 等. 2009: 两种土壤温度算法的对比分析. 大气科学, 33(1): 135-144.
DAI Chengying, GAO Zhiqiu, WANG Linlin, et al. 2009: Intercomparison between Two Soil Temperature Algorithms. Chinese Journal of Atmospheric Sciences, 33(1): 135-144.
 Citation: DAI Chengying, GAO Zhiqiu, WANG Linlin, et al. 2009: Intercomparison between Two Soil Temperature Algorithms. Chinese Journal of Atmospheric Sciences, 33(1): 135-144.

## Intercomparison between Two Soil Temperature Algorithms

• 摘要: 为了定量理解黄土高原土壤的物理特性和过程, 为进一步提高陆面模式对该地区地表能量平衡模拟能力奠定基础, 本文利用2005年黄土高原陆面过程试验中7月22～26日期间裸土地表观测站土壤温度观测资料, 采用热传导（结合数学拟合法)、热传导－对流两种方法分别计算了该地区土壤热扩散率。本文还利用热传导－对流方法计算0.05～0.1 m浅薄土壤层的热扩散率垂直梯度与水通量密度之和, 其值介于0.80×10-6～2.43×10-6m/s之间。在此基础之上, 以0.05 m深度的土壤层为上边界, 分别利用上述两种方法模拟0.10 m深度的土壤层温度, 结果表明: 由于忽略土壤的垂直不均匀性和水分的垂直运动而只考虑热传导过程, 热传导方法不仅高估了土壤温度振幅, 而且高估了位相的延迟。而热传导－对流方法对温度振幅和位相的模拟值与实际观测值吻合较好, 白天 (北京时间08:00～20:00) 的温度模拟值相对测量值的平均误差、 标准差和归一化标准差分别为0.19 K、0.18 K和0.08%。

Abstract: Utilizing soil temperature data collected at a bare ground soil over the Loess Plateau during the period from 22 to 26 July 2005，the soil thermal diffusivity is calculated by using two algorithms (i.e., thermal conduction algorithm combined with mathematical fitting method and thermal conduction-convection algorithm) in order to better understand the physical property and procedures of the soil over the Loess Plateau quantitatively and to form a basis of improvements of soil temperature diagnosis in land surface models. Soil thermal diffusivity is calculated by the two methods mentioned above, and the sum of vertical gradient of soil thermal diffusivity and water flux density is calculated by the thermal conduction-convection algorithm to range from 0.80×10-6 to 2.43×10-6 m/s for the soil layer of 0.05－0.10 m. Taking the soil layer at the depth of 0.05 m as the upper boundary, the temperature for the soil layer at the depth of 0.10 m is modeled by means of the two methods mentioned above. It is found that for the thermal conduction algorithm, owing to the fact that it takes into account thermal conduction alone and considers neither the soil water movement nor the soil vertical heterogeneity, both the diurnal amplitude and the delay of phase are overestimated. For the thermal conduction-convection algorithm, the diurnal amplitude and phase can be well estimated. The bias, standard error and normalized standard error of the modeled value against the observation are respectively 0.19 K, 0.18 K and 0.08% during the daytime (0800－2000 Beijing Time).

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