• DocumentCode
    1105339
  • Title

    Seasonal Variations of Chlorophyll a Concentration in the Northern South China Sea

  • Author

    Shen, Suhung ; Leptoukh, Gregory G. ; Acker, James G. ; Yu, Zuojun ; Kempler, Steven J.

  • Author_Institution
    NASA Goddard Space Flight Center, Greenbelt, MD
  • Volume
    5
  • Issue
    2
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    315
  • Lastpage
    319
  • Abstract
    Monthly climatology of chlorophyll concentration (chl ) based on nine years of SeaWiFS data is used to illustrate seasonal variations and spatial structures in the northern South China Sea (SCS). Chl starts to increase in September at the northern coast of Luzon Island, continues to increase in the autumn, and reaches its maximum in December or January. Maximum chl is centered in the northern SCS off the northwestern coast of Luzon Island. Chl starts to decrease gradually in February, and its values become very low from June to August. The region of elevated chl during the winter bloom season is funnel shaped, with the narrow end at the northern coast of Luzon Island, where the chl value is highest and opening toward the northwest. The sea surface temperature (SST) in this funnel-shaped region is significantly colder than SST in surrounding regions of the same latitude. The present study indicates that the winter blooms indicated by higher chl and colder SST in the northern SCS are linked strongly to the local winter monsoon. The initial data exploration and analysis presented in this study was carried out using Giovanni, a state-of-the-art Web-based data analysis and visualization tool.
  • Keywords
    data visualisation; geophysics computing; ocean temperature; oceanographic regions; oceanographic techniques; remote sensing; seawater; Giovanni; Luzon Island coast; SeaWiFS data; Web-based data analysis; chlorophyll concentration; data visualization tool; local winter monsoon; northern South China Sea; sea surface temperature; winter blooms; Data management; ocean color; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2008.915932
  • Filename
    4472913