• DocumentCode
    3482427
  • Title

    Modeling of aerosol and cloud optical depth

  • Author

    Alias, A.N. ; MatJafri, M.Z. ; Lim, H.S. ; Saleh, N.M.

  • Author_Institution
    Dept. of Appl. Sci., Univ. Teknol. MARA, Permatang Pauh, Malaysia
  • fYear
    2011
  • fDate
    5-6 Dec. 2011
  • Firstpage
    522
  • Lastpage
    525
  • Abstract
    We have applied regression model together with statistical test, Pearson Correlation, to examine the relationships between aerosol optical depth (AOD), cloud optical depth (COD) and water vapor retrieved by Moderate Resolution Imaging Spectrometer (MODIS) in 2009 over Malaysia. It is shown that the relationship between water vapor in clear sky and AOD mean showed the highest significant compared to the others. Pearson Correlation showed that AOD and Water Vapor (Clear sky) have positive correlation but COD and water vapor (cloudy) have negative correlation, which both have significant correlation (p<;60;0.01). Such regression model and correlation play an essential part in order to quantify the contributions in influencing climate change and global warming. However, analysis of the complex connection of AOD, COD and water vapor should be made with great care and further work is needed.
  • Keywords
    aerosols; atmospheric humidity; atmospheric optics; clouds; global warming; regression analysis; statistical testing; AD 2009; MODIS; Malaysia; Moderate Resolution Imaging Spectrometer; Pearson correlation; aerosol optical depth modeling; clear sky; climate change; cloud optical depth modeling; cloudy sky; global warming; regression model; statistical test; water vapor; Aerosols; Atmospheric modeling; Clouds; Correlation; MODIS; Mathematical model; Optical imaging; AOD; COD; MODIS; water vapor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4673-0021-6
  • Type

    conf

  • DOI
    10.1109/CHUSER.2011.6163786
  • Filename
    6163786