• DocumentCode
    2532017
  • Title

    EddyScan: A physically consistent ocean eddy monitoring application

  • Author

    Faghmous, James H. ; Styles, Luke ; Mithal, Varun ; Boriah, Shyam ; Liess, Stefan ; Kumar, Vipin ; Vikeb, Frode ; Mesquita, Michel Dos Santos

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2012
  • fDate
    24-26 Oct. 2012
  • Firstpage
    96
  • Lastpage
    103
  • Abstract
    Rotating coherent structures of water known as ocean eddies are the oceanic analog of storms in the atmosphere and a crucial component of ocean dynamics. In addition to dominating the ocean´s kinetic energy, eddies play a significant role in the transport of water, salt, heat, and nutrients. Therefore, understanding current and future eddy activity is a central challenge to address future sustainability of marine ecosystems. The emergence of sea surface height observations from satellite radar altimeter has recently enabled researchers to track eddies at a global scale. The majority of studies that identify eddies from observational data employ highly parametrized connected component algorithms using expert filtered data, effectively making reproducibility and scalability challenging. In this paper, we improve upon the state-of-the-art connected component eddy monitoring algorithms to track eddies globally. This work makes three main contributions: first, we do not pre-process the data therefore minimizing the risk of wiping out important signals within the data. Second, we employ a physically-consistent convexity requirement on eddies based on theoretical and empirical studies to improve the accuracy and computational complexity of our method from quadratic to linear time in the size of each eddy. Finally, we accurately separate eddies that are in close spatial proximity, something existing methods cannot accomplish. We compare our results to those of the state of the art and discuss the impact of our improvements on the difference in results.
  • Keywords
    artificial satellites; computational complexity; computerised monitoring; ecology; filtering theory; geophysics computing; ocean temperature; ocean waves; oceanographic techniques; radar altimetry; EddyScan; close spatial proximity; computational complexity; eddy activity; expert filtered data; global eddies tracking; heat transportation; linear time; marine ecosystems; nutrient transportation; observational data; ocean dynamics; ocean eddies; ocean kinetic energy; parametrized connected component algorithms; physically consistent ocean eddy monitoring application; physically-consistent convexity; quadratic time; reproducibility; rotating coherent structures; salt transportation; satellite radar altimeter; scalability challenging; sea surface height observations; signals wiping out; state-of-the-art connected component eddy monitoring algorithms; water transportation; Atmospheric waves; Image color analysis; Monitoring; Ocean temperature; Satellites; Sea surface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Understanding (CIDU), 2012 Conference on
  • Conference_Location
    Boulder, CO
  • Print_ISBN
    978-1-4673-4625-2
  • Type

    conf

  • DOI
    10.1109/CIDU.2012.6382189
  • Filename
    6382189