• DocumentCode
    2391792
  • Title

    Applying engineering feedback analysis tools to climate dynamics

  • Author

    MacMynowski, Douglas G. ; Tziperman, Eli

  • Author_Institution
    Dept. of Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    4179
  • Lastpage
    4184
  • Abstract
    The application of feedback analysis tools from engineering control theory to problems in climate dynamics is discussed through two examples. First, the feedback coupling between the thermohaline circulation and wind-driven circulation in the North Atlantic Ocean is analyzed with a relatively simple model, in order to better understand the coupled system dynamics. The simulation behavior is compared with analysis using root locus (in the linear regime) and describing functions (to predict limit cycle amplitude). The second example does not directly involve feedback, but rather uses simulation-based identification of low-order dynamics to understand parameter sensitivity in a model of El Nino/Southern Oscillation dynamics. The eigenvalue and eigenvector sensitivity can be used both to better understand physics and to tune more complex models. Finally, additional applications are discussed where control tools may be relevant to understand existing feedbacks in the climate system, or even to introduce new ones.
  • Keywords
    climatology; eigenvalues and eigenfunctions; feedback; natural resources; root loci; sensitivity analysis; wind; El Nino dynamics; Southern Oscillation dynamics; climate dynamics; climate system; eigenvalue sensitivity; eigenvector sensitivity; engineering control; feedback analysis tool; feedback coupling; root locus; system dynamics; thermohaline circulation; wind-driven circulation; Analytical models; Control systems; Control theory; Coupled mode analysis; Eigenvalues and eigenfunctions; Feedback; Limit-cycles; Oceans; Physics; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4587149
  • Filename
    4587149