• DocumentCode
    1275002
  • Title

    Empirical orthogonal function analysis of sea surface temperature patterns in Delaware Bay

  • Author

    Keiner, Louis E. ; Yan, Xiao Hai

  • Author_Institution
    Coll. of Marine Studies, Delaware Univ., Newark, DE, USA
  • Volume
    35
  • Issue
    5
  • fYear
    1997
  • fDate
    9/1/1997 12:00:00 AM
  • Firstpage
    1299
  • Lastpage
    1306
  • Abstract
    Empirical orthogonal functions (EOFs) are used to study a time-series of IR images from the Delaware Bay region, to determine the dominant patterns of sea surface temperature (SST) variance. Thirty-two months of AVHRR imagery, from February 1992 to September 1994, were used in the study. The SST images were averaged into monthly means for the analysis. EOF analysis decomposed the time series into its component parts. For Delaware Bay, the seasonal solar heating cycle dominated the results, accounting for 95.3% of the total variance. Higher modes in this area are interpreted as the result of spring heating and fall cooling of shallow river and bay waters ahead of offshore waters. The EOF results provide independent satellite derived evidence for lateral variability in the circulation of the estuary, which had previously been found in in-situ studies. The lateral variability in the bay circulation is a result of Delaware Bay´s drowned river valley bathymetry
  • Keywords
    oceanographic regions; rivers; AD 1992; AD 1993; AD 1994; Delaware Bay; EOF; IR image; New Jersey; North Atlantic; SST pattern; USA; United States; bay; circulation; empirical orthogonal function analysis; estuary; lateral variability; ocean; river; sea coast; sea surface temperature; thermal structure; Cooling; Image analysis; Ocean temperature; Rivers; Satellites; Sea surface; Solar heating; Springs; Time series analysis; Water heating;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.628796
  • Filename
    628796