EVALUATION OF THE LATEST SATELLITE-BASED PRECIPITATION PRODUCTS THROUGH PIXEL-POINT COMPARISON AND HYDROLOGICAL APPLICATION OVER THE MEKONG RIVER BASIN

被引：0
作者：
Li, Yishan [1 ,2 ]
Wang, Wei [1 ,2 ,4 ]
Lu, Hui [1 ,2 ,3 ]
机构：
[1] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[3] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
[4] Changjiang Inst Survey Planning Design & Res, Wuhan 430010, Hubei, Peoples R China
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
基金：
中国国家自然科学基金;
关键词：
Satellite Precipitation Products; Distributed hydrological model; Mekong River Basin;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this study, the latest released satellite based precipitation products - Global Precipitation Measurement (GPM) mission Level 3 product Integrated Multi-satellitE Retrievals for GPM (IMERG) and version 7 of Tropic Rainfall Measurement Mission (TRMM 3B42V7) data is evaluated and applied with a distributed hydrological model to examine the precipitation detection and performance in hydrological simulating over the Mekong River Basin (MRB) during 2014/4/1 to 2016/1/31. About 137 rain gauges stations were collected to carry out a pixel-point comparison between observation and satellite precipitation. Moreover, daily discharge observation data from five discharge gauges were used to evaluate the performance of hydrological simulation. The result demonstrate that: 1) IMERG data show more precision in both heavy and light rain detection than 3B42V7; 2) IMERG performs better than 3B42V7 when driving hydrologic model, giving the fact that the simulated discharge result from IMERG is more accurate and stable.
引用
收藏
页码：3043 / 3046
页数：4
相关论文
共 15 条
  • [1] [Anonymous], 2010, State of the Basin Report
  • [2] Hydrological trend analysis in the Yellow River basin using a distributed hydrological model
    Cong, Zhentao
    Yang, Dawen
    Gao, Bing
    Yang, Hanbo
    Hu, Heping
    [J]. WATER RESOURCES RESEARCH, 2009, 45
  • [3] Gao B., 2008, J CHINA HYDROLOGY
  • [4] He Z., 2017, J HYDROMETEOROLOGY, V18
  • [5] Hsu KL, 1997, J APPL METEOROL, V36, P1176, DOI 10.1175/1520-0450(1997)036<1176:PEFRSI>2.0.CO
  • [6] 2
  • [7] Huffman G. J., 2015, 612 NASAGSFC, V47
  • [8] Li Z., 2014, J HYDROMETEOROLOGY
  • [9] Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites
    Nijssen, B
    Lettenmaier, DP
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2004, 109 (D2)
  • [10] ADVANCED CONCEPTS ON REMOTE SENSING OF PRECIPITATION AT MULTIPLE SCALES
    Sorooshian, Soroosh
    AghaKouchak, Amir
    Arkin, Phillip
    Eylander, John
    Foufoula-Georgiou, Efi
    Harmon, Russell
    Hendrickx, Jan M. H.
    Imam, Bisher
    Kuligowski, Robert
    Skahill, Brian
    Skofronick-Jackson, Gail
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (10) : 1353 - 1357
12