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基于高时空分辨率驱动数据的中国区域土壤温度模拟与评估

发布时间:2018-11-25 08:23
【摘要】:土壤温度在农业生产中是一个重要的陆面变量,但是仅通过观测很难获取大范围的、时空连续的土壤温度数据,而通过陆面模式模拟的土壤温度可以为农业生产和研究提供较为准确的土壤温度格点场。基于高时空分辨率的驱动数据,使用Noah-MP陆面模式对中国区域的土壤温度进行模拟,并使用2 400多个国家级气象站的土壤温度观测数据对模拟结果进行评估。结果表明:(1)Noah-MP陆面模式能够很好地模拟出中国区域土壤温度的空间分布、时间变化,偏差在±0.5℃以内,相关系数在0.9以上;(2)从选取的8个研究区的土壤温度模拟结果来看,NoahMP陆面模式能够抓住各研究区的土壤温度变化趋势,仅对东北地区冬季的土壤温度存在轻微的低估;(3)基于高时空分辨率驱动数据得到的土壤温度模拟结果具有较高的准确性,对于农业气象研究具有积极意义。
[Abstract]:Soil temperature is an important land surface variable in agricultural production, but it is difficult to obtain large-scale, spatio-temporal continuous soil temperature data only through observation. The soil temperature simulated by land surface model can provide more accurate soil temperature lattice field for agricultural production and research. Based on the driving data with high spatial and temporal resolution, the Noah-MP land surface model was used to simulate the soil temperature in China, and the soil temperature data from more than 2 400 national meteorological stations were used to evaluate the simulation results. The results are as follows: (1) the Noah-MP land surface model can well simulate the spatial distribution and time variation of soil temperature in China, the deviation is within 卤0.5 鈩,

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