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利用1961-2010年普林斯顿大学每3 h一次、1°×1°的大气强迫场数据驱动公用陆面模式CLM4.0(Common Land Model,version4.0)对黄河源区土壤湿度的时空分布进行了模拟试验,合理优化了CLM 4.0中土壤有机质和土壤质地属性参数,将模拟结果与荷兰自由大学AM SR-E土壤湿度产品进行了对比分析,并利用玛曲土壤湿度观测站点的观测数据对模拟结果进行了验证。结果表明,CLM4.0模式能较好的模拟黄河源区土壤湿度的空间分布及变化趋势,在优化陆面有机质和土壤质地数据参数后,模拟的土壤湿度空间分布更合理,但CLM4.0模拟的土壤湿度比地面观测值和AMSR-E土壤湿度产品的土壤湿度偏低。
The temporal and spatial distribution of soil moisture in the source region of the Yellow River was studied using the Common Land Model (version 4.0) driven by Princeton University’s atmospheric forced-field data of 1 ° × 1 ° every 3 h from 1961 to 2010 The simulation test was carried out to optimize the parameters of soil organic matter and soil texture in CLM 4.0. The simulation results were compared with AM SR-E soil moisture products from Holland Free University. The simulation results Verified. The results show that CLM4.0 model can better simulate the spatial distribution and trend of soil moisture in the source region of the Yellow River. After optimizing the parameters of landmass and soil texture, the spatial distribution of simulated soil moisture is more reasonable. However, the CLM4.0 simulation Of the soil moisture is lower than the ground observations and soil moisture of the AMSR-E soil moisture product.