陆面水文模式Noah-LSM在赣江上游区的适用性研究

为合理评估未来气候变化下赣江上游区的水文响应机制,基于赣江上游峡山水文站以上集水区域6个气象站点1961~2014年逐日气象资料和2008~2014年中国陆面数据同化系统土壤含水率产品,采用NoahLSM陆面水文模式进行历史流量和土壤含水率过程模拟,评估Noah-LSM在赣江上游区的适用性。结果表明,Noah-LSM模拟的率定期和验证期日流量模拟过程确定性系数分别为0.857、0.750,模拟的土壤含水率过程与中国陆面数据同化系统产品基本吻合。Noah-LSM能合理模拟研究区的流量和土壤含水率过程,且在赣江上游区具有良好的适用性。

Application of the Noah-LSM Landsurface Hydrological Model in the Upper Reaches of the Ganjiang River Basin

To rationally evaluate the impact of climate change on hydrological response, based on the daily weather records at six meteorological stations from 1961 to 2014 and the China Land Data Assimilation System (CLDAS) soil moisture product from 2008 to 2014 in the upper reaches of the Ganjiang River basin, the Noah Land Surface Model (Noah-LSM) were used to simulate the historical daily streamflow and soil moisture processes so as to assess the applicability of Noah-LSM in the upper reaches of the Ganjiang River. The results show that the values of deterministic coefficient for the daily streamflow simulations in the calibration and validation periods are 0.857 and 0.750, respectively, and the soil moisture process basically agrees with the CLDAS products. The Noah-LSM is able to rationally simulate the streamflow and soil moisture processes in this study area, and it has good applicability to the upper reaches of the Ganjiang River basin.