摘要
以黄河源区水文循环过程为主要研究对象,应用TRMM卫星和GPM卫星的日降水产品(TMPA3B42和IMERG-Final)驱动流域分布式水文模型SWAT,将结果进行比较分析,评估了新型卫星降水在黄河源区的适用性及其模拟潜力。研究表明:(1)对于大尺度流域而言,同时对多个子流域进行参数的敏感性分析及率定的结果不适用于每一个站点。因此,本文采用对每个水文站点所对应的子流域依次进行敏感性分析与验证的方式进行订正,最终得到验证期内3个站点径流模拟结果的纳什效率系数均在0.50以上,决定系数都在0.60以上。(2)从模拟结果来看,IMERG-Final产品的模拟结果要优于TMPA3B42产品。两种卫星降水产品均能模拟出黄河源区月径流变化的主要趋势,但均表现为对于径流峰值的模拟偏高。新型卫星产品(GPM)较前任TRMM卫星产品的精度确实有提高,且具备一定的模拟潜力,但对于高海拔地区的模拟能力有待提高,需要进一步订正。
In this paper,two kinds of daily satellites precipitation products(TMPA 3 B42 and IMERG-Final)are used to drive SWAT hydrological model. The results are compared and analyzed,and the applicability and simulation potential of the new satellite precipitation in the source region of Yellow River(SRYR)are evaluated. The results indicate that:(1)for large-scale watersheds,the results of sensitivity analysis and calibration of parameters for multiple sub-watersheds at the same time are not applicable to each station. Therefore,we choose to make sensitivity analysis and calibration of parameters in each station. Finally,the Nash-Sutcliffe efficiency coefficient(NSE)of the runoff simulation results of the three stations in the validation period are all above 0. 50,and the determination coefficients(R2)are all above 0. 60.(2)IMERG-Final products are better than TMPA 3 B42 products in simulation results. Both of them can simulate the main trends of monthly runoff change in SRYR,but they have overestimated the peak values of runoff. The precision of the new satellite product(GPM)is higher than that of the predecessor satellite product(TRMM). However,the accuracy of the GPM products in high altitude areas needs to be improved and further revised.
作者
刘兆晨
杨梅学
万国宁
程立真
LIU Zhaochen;YANG Meixue;WAN Guoning;CHENG Lizhen(State Key Laboratory of Cryospheric Science/Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,Gansu,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《高原气象》
CSCD
北大核心
2021年第2期403-410,共8页
Plateau Meteorology
基金
国家自然科学基金项目(41771068,41571066,41601077)
中国科学院战略性先导科技专项(A类)项目(XDA20100102,XDA19070204)
中国科学院“西部之光”青年学者B类项目
中国科学院青年创新促进会(2018460)。