TRMM_3B42 V7与GPM_IMERG降水产品在黄河源区的水文效用评估

TRMM_3B42 V7 and GPM_IMERG precipitation products hydrological suitability assessment in the source area of the Yellow River

以黄河源区不同水文站控制流域为研究单元,对TRMM_3B42 V7与GPM_IMERG进行了站点和流域的统计指标评价,并在黄河沿水文站控制流域使用分布式水文模型评估了两者的水文效用差异.结果表明:(1)在站点对比研究中,TRMM_3B42 V7比GPM_IMERG表现出更优的精度,久治水文站控制的流域降水量最多,而黄河沿水文站控制的流域降水量最少.(2)在不同水文站控制的流域,TRMM_3B42 V7与区域站观测值的皮尔逊相关系数CC高值分布唐乃亥控制区,而GPM_IMERG与区域站观测值的CC高值分布较为广泛.(3)在水文效用评估方面,情景Ⅰ为区域站降水驱动水文模型,情景Ⅱ为TRMM_3B42 V7降水数据驱动水文模型,情景Ⅲ为GPM_IMERG降水数据驱动水文模型,率定期模拟结果最优的为实测数据驱动,情景Ⅰ纳什系数为0.88、情景Ⅱ纳什系数为0.85、情景Ⅲ纳什系数为0.86,得到GPM_IMERG能较好地捕捉洪峰流量,可以代替实测站点,有较优的洪水预报潜力.

Taking the control basin of different hydrological stations in the source area of the Yellow River as the research unit,this paper evaluates the statistical indicators of GPM_IMERG and TRMM_3B42 V7 on the stations and basins,and uses a distributed hydrological model to evaluate the hydrological utility of the two in the control basin of hydrological stations along the Yellow River.difference.The results show that:(1)In the site comparison study,there is good consistency between 3B42 V7,IMERG and regional station precipitation.IMERG has better accuracy than 3B42 V7,3B42 V7 overestimates precipitation,and IMERG is closer to the norm observation value;The overall precipitation has gradually increased from west to east.The watershed controlled by the Jiuzhi hydrological station has the most precipitation,and the watershed controlled by the hydrological station along the Yellow River has the least precipitation.(2)In the basin controlled by different hydrological stations,the precipitation spatial changes are significant,but GPM_IMERG can better represent the spatial distribution of precipitation;3B42 V7 and the CC high value of the regional station observation value are distributed in the Tang Naihai control area,and GPM_IMERG and the regional station The high CC values of the observations are widely distributed,and 3B42 V7 has better precipitation capture ability in high-altitude areas.Overall,the accuracy of 3B42 V7 is better than that of IMERG.(3)In terms of hydrological utility evaluation,the 2016—2018 warm season is used as the model rate regularly,the 2019 warm season is the verification period and three simulation scenarios are considered.Scenario Ⅰ is a regional station precipitation-driven hydrological model,and scenario Ⅱ is TRMM_3B42 V7 Precipitation data drives the hydrological model.Scenario Ⅲ is the GPM_IMERG precipitation data-driven hydrological model.The best rate of regular simulation results is driven by measured data.The Nash coefficient is 0.88,scenario Ⅱ is 0.85,and scenario Ⅲ is 0.86.GPM_IMERG is believed to be able to catch the peak flow well adn has a higher potential for flood forecasting.