• DocumentCode
    2456606
  • Title

    Validation of satellite based rainfall data in Poyang Lake catchment

  • Author

    Li, Xianghu ; Zhang, Qi

  • Author_Institution
    State Key Lab. of Lake Sci. & Environ., Nanjing Inst. of Geogr. & Limnology, Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    3756
  • Lastpage
    3759
  • Abstract
    The spatial rainfall is one of the key inputs for the distributed hydrological model, and their precisions heavily affect the accuracy of streamflow predictions from a hydrological model. Satellite-based rainfall products are expected to offer an alternative to ground based rainfall estimates in the present and the foreseeable future. So, the present study mainly deals with the comparison between TRMM rainfall and the rain gauges rainfall at the different time step. The results show that the differences of the maximal daily and 5-day rainfall and annual rainfall between TRMM and rain gauges rainfall are distinctly, and the daily TRMM rainfall are good at determining rain occurrence rather than rainfall amount. The good linear relationships of the monthly TRMM rainfall with monthly rain gauges rainfall data are received. The spatial distributions of annual rainfall from TRMM data are markedly different in different years and can be classified into three types on the whole according to the spatial characteristics.
  • Keywords
    hydrology; lakes; rain; Poyang Lake catchment; annual rainfall; daily TRMM rainfall; distributed hydrological model; monthly TRMM rainfall; monthly rain gauge rainfall data; rain occurrence; rainfall amount; satellite-based rainfall products; spatial distributions; spatial rainfall; streamflow predictions; Correlation; Data models; Lakes; Manuals; Predictive models; Rain; Satellites; Poyang Lake; Rainfall; Satellite; TRMM; Validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965145
  • Filename
    5965145