【摘要】 中国气象局陆面数据同化系统CLDAS-V2.0可提供网格化的地表、土壤温湿度等融合分析产品，空间分辨率达到6.25 km。利用2019年4—8月大同0～10 cm自动土壤水分观测数据，对CLDAS土壤相对湿度产品进行适用评估。结果显示：CLDAS数据能很好地模拟出表层土壤相对湿度的日变化趋势；北部相关系数高于南部，东部表现出大的偏差和均方根误差；东部CLDAS数据显著偏湿，中部以略偏干为主，整体误差较大。更多还原

【Abstract】 The Land Surface Data Assimilation System(CLDAS-V2.0) of China Meteorological Administration(CMA) can provide grid-based analysis products of surface, soil temperature and humidity, with spatial resolution of 6.25 km.The soil relative humidity products of CLDAS were evaluated by using 0～10cm automatic soil moisture observation data in Datong from April to August 2019. The results showed that CLDAS could well simulate the day variation trend of soil surface relative moisture. The correlation coefficient in northern Datong was higher than that in southern Datong, while the BIAS and RMSE in eastern Datong were larger.CLDAS data in eastern was significantly wet,but mainly slightly dry in the middle; In all,CLDAS data had bigger error.更多还原