• DocumentCode
    2199126
  • Title

    Qualitative analysis of input parameters for satellite-based quantification of airborne volcanic ash

  • Author

    Steensen, T. ; Webley, P.

  • Author_Institution
    Geophys. Inst., Univ. of Alaska Fairbanks (UAF), Fairbanks, AK, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2982
  • Lastpage
    2985
  • Abstract
    Satellite remote sensing data is an important tool to analyze and quantify volcanic ash emissions. However, the algorithms used require a range of input parameters not always known accurately enough for precise calculations. Based on the eruption of Sarychev Peak in the Kuriles, eastern Russia, during June 2009, we analyzed the sensitivity of each of the variables used operationally to evaluate their contributions to the derived mass loading. It is shown that the derived cloud top and surface brightness temperatures, the refractive indices of air and ash, the particle density and the amount of water in the cloud are the dominant factors influencing the retrieval. It is further outlined, how a combination of over- and underestimates of different parameters can yield the same output.
  • Keywords
    aerosols; ash; atmospheric precipitation; atmospheric techniques; atmospheric temperature; clouds; remote sensing; sensitivity analysis; volcanology; AD 2009 06; Kuriles; Sarychev Peak eruption; airborne volcanic ash; cloud top temperature; cloud water amount; eastern Russia; input parameter; mass loading; parameter overestimation; parameter underestimation; particle density; qualitative analysis; refractive index; satellite remote sensing data; satellite-based quantification; sensitivity analysis; surface brightness temperature; volcanic ash emission; Ash; Brightness temperature; Clouds; Satellites; Sea surface; Volcanic ash; Brightness Temperature; Remote Sensing; Sarychev Peak; Sensitivity; Volcanic Ash;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350799
  • Filename
    6350799