• DocumentCode
    576213
  • Title

    Variation of latent heat flux over the Bengal Bay-South China Sea area and its relationship with South China Sea summer monsoon onset

  • Author

    Chen, Jinnian ; Zuo, Tao ; Wang, Hongna

  • Author_Institution
    Inst. of Oceanol., Qingdao, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    856
  • Lastpage
    859
  • Abstract
    Based on the satellite remote data from Special Sensor Microwave Images (SSM/I) and Advanced Very High Resolution Radiometer (AVHRR), the oceanic and atmospheric parameters are retrieved through the method of neural network. And then the surface latent and sensible heat flux have been computed by the advanced method of COARE3.0 bulk algorithm. Correlation analysis between air-sea latent heat flux in the Bengal Bay-South China Sea area and the South China Sea (SCS) summer monsoon onset indicates that there is a remarkable lag correlation between them. This result has important implications for prediction of the SCS summer monsoon, and provides a scientific basis for further study of the onset process of this monsoon and its prediction. Based on these results, a linear regression equation is obtained to predict the onset date of the monsoon in 2012. The forecast is that the onset date in 2012 will be 2 pentads later.
  • Keywords
    ocean temperature; oceanographic regions; remote sensing; Advanced Very High Resolution Radiometer; Bengal bay; COARE3.0 bulk algorithm; SCS summer monsoon; Special Sensor Microwave Images; air-sea latent heat flux; atmospheric parameter; latent heat flux variation; linear regression equation; neural network method; oceanic parameter; satellite remote data; south China sea; surface latent heat flux; surface sensible heat flux; Correlation; Equations; Heating; Meteorology; Ocean temperature; Satellites; Sea surface; Bengal Bay-South China Sea area; SCS summer monsoon onset; air-sea heat fluxes; forecast;
  • 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.2012.6351426
  • Filename
    6351426