• DocumentCode
    2673459
  • Title

    Calculation of monthly precipitation anomaly percentage using web-serviced remote sensing data

  • Author

    Shao-E, Yang ; Bing-Fang, Wu

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • Volume
    5
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    621
  • Lastpage
    625
  • Abstract
    The traditional drought monitoring index, monthly precipitation anomaly percentage, is experimented to calculate using web-serviced remote sensing data in this paper. The Tropical Rainfall Measuring Mission (TRMM) monthly precipitation rate products are puplished by Goddard Space Flight Center in internet, all products can be downloaded freely. First, the monthly rainfall of China in July and August of 1998-2008 was derived from the TRMM monthly precipitation rate products, then used the monthly rainfall to calculate the monthly precipitation anomaly percentage in July 2006, August 2006, July 2007, and August 2007. The monthly precipitation anomaly percentage were verified with the observed data from China Meteorological Administration. The comparisons indicate that the monthly precipitation anomaly percentage is not obviously different from the observed data. The monthly precipitation anomaly percentage which is calculated using TRMM data can denote drought fairly well.
  • Keywords
    Web services; geophysics computing; hydrology; meteorology; rain; remote sensing; China Meteorological Administration; Goddard Space Flight Center; Web service; drought monitoring index; monthly precipitation anomaly percentage; remote sensing data; tropical rainfall measuring mission; Infrared image sensors; Internet; Land surface temperature; Meteorology; Remote monitoring; Remote sensing; Satellite broadcasting; Space missions; Temperature sensors; Vegetation mapping; TRMM; precipitation anomaly percentage; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486796
  • Filename
    5486796