• DocumentCode
    2119939
  • Title

    SOM of space borne precipitation radar rain profiles on global scale

  • Author

    Zafar, Basim J. ; Chandrasekar, V.

  • Author_Institution
    Colorado State Univ., Fort Collins, CO, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    925
  • Abstract
    The Precipitation Radar (PR) from the Tropical Rainfall Measuring Mission (TRMM) produces high resolution vertical profiles of precipitation. Extensive information about the type of storm is contained in its vertical structure. This paper develops classification methodology precipitation radar profiles using self organizing maps. Reflectivity observation of vertical rain profile on global scale obtained from TRMM PR is classified with Self-Organizing Maps. The methodology is demonstrated by computing a SOM for a month of TRMM radar data around the globe. A sample application of the methodology is provided to study the difference between east and west Pacific Ocean.
  • Keywords
    image classification; meteorological radar; rain; self-organising feature maps; spaceborne radar; storms; PR; SOM; Self-Organizing Map; TRMM radar data; Tropical Rainfall Measuring Mission; east/west Pacific Ocean; high resolution vertical rain profile; reflectivity observation; space borne Precipitation Radar; storm; Clouds; Neurons; Oceans; Radar measurements; Rain; Reflectivity; Sea measurements; Self organizing feature maps; Spaceborne radar; Storms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1368559
  • Filename
    1368559