• DocumentCode
    3355907
  • Title

    What is the information content of TRMM precipitation radar for determining radiometer observations and vice versa?

  • Author

    Balaji, C. ; Chaturvedi, Mmanu ; Srinivasa Ramanujam, K. ; Chandrasekar, V. ; Nguyen, Cuong ; Martinez, Matt

  • Author_Institution
    Indian Inst. of Technol. Madras, Chennai, India
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1899
  • Lastpage
    1902
  • Abstract
    Both the space borne radar and the radiometer suite on the TRMM satellite observe the same column of precipitation and derive rain rates, however at different spatial resolutions. The observations from TRMM PR and TMI are fundamentally different measurements. While the radar provides a backscatter measurement resolved in the vertical direction, the radiometer is a passive instrument obtaining integrated observations over the full depth of the cloud. In addition, they respond to different physical mechanisms. Nevertheless, they observe the same precipitation medium and retrieve the same output products. Therefore, it begs the question, what type of information about radiometric observations can be directly retrieved from radar observations. This question can be further focused and stated as: To what extent can one predict the radiometric observations from radar observations? This question can be answered in several ways, and one of them is an informational theoretic approach using neural networks which is described in this paper.
  • Keywords
    backscatter; radiometers; rain; reflectivity; remote sensing; spaceborne radar; TRMM precipitation radar; backscatter measurement; information content; radiometer observations; space borne radar; Artificial neural networks; Brightness temperature; Microwave radiometry; Ocean temperature; Radar; Sea measurements; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652837
  • Filename
    5652837