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
Link To Document :
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