• DocumentCode
    1761309
  • Title

    Relationship Between Cyclone Intensities and Sea Surface Temperature in the Tropical Indian Ocean

  • Author

    Ali, Md Mortuza ; Swain, D. ; Kashyap, T. ; McCreary, J.P. ; Nagamani, P.V.

  • Author_Institution
    Atmos. & Ocean Sci. Group, Nat. Remote Sensing Centre, Hyderabad, India
  • Volume
    10
  • Issue
    4
  • fYear
    2013
  • fDate
    41456
  • Firstpage
    841
  • Lastpage
    844
  • Abstract
    In most cyclone prediction models, sea surface temperature (SST) is the only oceanographic input, even though storms are known to be impacted by the thermal energy available through oceanic heat content, not just by SST alone. In the tropical Indian Ocean (TIO; 30° S -30° N, 30-120° E), there are no studies that examine the relationship between instantaneous cyclone intensity (CI) and SST as a function of time. Here, we explore that relationship using SST data from the Tropical Rainfall Measuring Mission Microwave Imager and CI data (maximum sustained winds) from the Joint Typhoon Warning Centre. We find that out of 75 TIO cyclones studied during 1998-2011, more than 50% of the cyclones have no significant correlation between CI and SST. The numbers having significant negative (positive) correlations are 31 (3), 13 (10), and 17 (14) with SST leading CI by one, two, and three days, respectively. These results demonstrate that SST is not a useful indicator of CI in the TIO.
  • Keywords
    ocean temperature; oceanographic regions; storms; wind; AD 1998 to 2011; Joint Typhoon Warning Centre; SST data; Tropical Rainfall Measuring Mission Microwave Imager; cyclone prediction models; instantaneous cyclone intensity; maximum sustained winds; oceanic heat content; oceanographic input; sea surface temperature; storms; thermal energy; tropical Indian Ocean; Correlation; Meteorology; Ocean temperature; Sea surface; Tropical cyclones; Cyclone intensity (CI); sea surface temperature (SST); tropical Indian Ocean (TIO);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2226138
  • Filename
    6387261