doi:10.12202/j.0476-0301.2020261谭秋阳^{1, 2},
徐宗学^{1, 2,,},
赵彦军^{3, 4},
刘江涛^{1, 2},
班春广^{1, 2},
刘晓婉^{1, 2},
王静⁵
1.北京师范大学水科学研究院，100875，北京
2.城市水循环与海绵城市技术北京市重点实验室，100875，北京
3.中国科学院地理科学与资源研究所，陆地水循环及地表过程重点实验室，100101，北京
4.中国科学院大学，101407，北京
5.西藏自治区水文水资源勘测局，850000，西藏拉萨
基金项目:国家自然科学基金“重大研究计划”资助项目(91647202)

详细信息

通讯作者:徐宗学（1962—），男，博士，教授. 研究方向：水文与水资源. E-mail: zxxu@bnu.edu.cn

中图分类号:P333

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出版历程

收稿日期:2020-07-03
网络出版日期:2021-05-27
刊出日期:2021-06-30

Applicability of China meteorological forcing dataset to the Nianchu River basin

Qiuyang TAN^{1, 2},
Zongxue XU^{1, 2,,},
Yanjun ZHAO^{3, 4},
Jiangtao LIU^{1, 2},
Chunguang BAN^{1, 2},
Xiaowan LIU^{1, 2},
Jing WANG⁵
1. College of Water Sciences, Beijing Normal University, 100875, Beijing, China
2. Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China
3. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, 100101, Beijing, China
4. University of Chinese Academy of Sciences, 101407, Beijing, China
5. Hydrology and Water Resources Survey Bureau of Tibet Autonomous Region, 850000, Lasa, Tibet, China



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摘要
摘要:积雪融水是高海拔地区河流的重要补给水源，但高海拔地区资料稀缺，水文模拟面临极大的挑战．本文基于中国区域地面气象要素驱动数据集提供的降水、气温资料，结合MODIS雪盖数据，以2004—2009年为率定期，2010—2015年为验证期，在年楚河流域构建SRM模型，并以气象站点的实测资料为参照，对比分析了中国区域高时空分辨率地面气象要素驱动数据集在年楚河流域的融雪径流模拟效果．结果表明：基于气象站点实测降水和温度的融雪径流模拟纳什效率系数在率定期和验证期分别为0.75和0.68；基于中国区域高时空分辨率地面气象要素驱动数据集的融雪径流模拟纳什效率系数在率定期和验证期分别为0.77和0.78，径流模拟效果有所提高．CMFD再分析数据集可为缺资料地区的水文模拟提供数据来源，对高寒地区的融雪径流模拟具有一定的参考价值．
关键词:CMFD数据/
融雪径流模型/
水文模拟/
年楚河流域
Abstract:Snow-melt-water is an important source of water supply for rivers in high altitude areas, but the lack of observed data brings great challenges to hydrological simulation in such areas．Precipitation and temperature data from China meteorological forcing dataset (CMFD) and MODIS snow-cover data were used to establish an SRM model for Nianchu River basin．The model simulations of snow-melt-runoff were compared to model driven by meteorological station data．The Nash-Sutcliffe efficiency coefficients of the model driven by measured meteorological data were found to be 0.75 and 0.68 in the calibration (2004-2009) and validation (2010-2015) periods respectively, but these coefficients of the model driven by CMFD data became 0.77 and 0.78, indicating improved runoff-simulation．It is concluded that CMFD could provide input data for hydrological simulation in un-gauged areas．This would be useful for snowmelt-runoff simulation in alpine areas．
Key words:China meteorological forcing dataset (CMFD)/
snowmelt runoff model/
hydrological simulation/
Nianchu River basin