Meng Xianyong, Wang Hao, Wu Yiping, Long Aihua, Wang Jianhua, Shi Chunxiang, Ji Xiaonan
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin & China Institute of Water Resources and Hydropower Research, Beijing, 100038, P. R. China.
Department of Earth & Environmental Science, Xi'an Jiaotong University, Xi'an, 710049, P. R. China.
Sci Rep. 2017 Oct 16;7(1):13286. doi: 10.1038/s41598-017-10665-8.
Soil temperature plays a key role in the land surface processes because this parameter affects a series of physical, chemical, and biological processes in the soil, such as water and heat fluxes. However, observation of soil temperature is quite limited, especially at the regional scale. Therefore, this study is to investigate the spatiotemporal features of soil temperature in Xinjiang, China, using the Community Land model 3.5 (CLM3.5) with the atmospheric near-surface forcing data of the China Meteorological Administration Land Data Assimilation System (CLDAS). We use the observed soil temperature data collected from 105 national automatic stations during 2009 through 2012 in the study area to verify the simulation capability. The comparison results indicate that the CLM3.5 with the CLDAS driving field could well simulate the spatiotemporal patterns of the soil temperature at hourly, daily, and monthly time scales and at three depths (5 cm, 20 cm, and 80 cm). We also produce a soil temperature database of the region that is continuous both in time and space with high resolution (about 6.25 km). Overall, this study could help understand the regional and vertical characteristics of the soil temperature and provide an important scientific basis for other land-surface processes.
土壤温度在陆地表面过程中起着关键作用,因为该参数会影响土壤中的一系列物理、化学和生物过程,如水热通量。然而,土壤温度的观测非常有限,尤其是在区域尺度上。因此,本研究利用社区土地模型3.5(CLM3.5)和中国气象局陆地数据同化系统(CLDAS)的大气近地表强迫数据,研究中国新疆土壤温度的时空特征。我们使用2009年至2012年期间在研究区域内105个国家自动站收集的观测土壤温度数据来验证模拟能力。比较结果表明,CLM3.5与CLDAS驱动场能够很好地模拟小时、日和月时间尺度以及三个深度(5厘米、20厘米和80厘米)的土壤温度时空模式。我们还生成了该区域的土壤温度数据库,该数据库在时间和空间上都是连续的,具有高分辨率(约6.25公里)。总体而言,本研究有助于了解土壤温度的区域和垂直特征,并为其他陆地表面过程提供重要的科学依据。