FrA16.5 Applying engineering feedback analysis tools to climate dynamics
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 relati...
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Format: | Text |
Language: | English |
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2008
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Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4846 http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf |
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author | Douglas G. Macmynowski Eli Tziperman |
author2 | The Pennsylvania State University CiteSeerX Archives |
author_facet | Douglas G. Macmynowski Eli Tziperman |
author_sort | Douglas G. Macmynowski |
collection | Unknown |
description | 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 Niño/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. I. |
format | Text |
genre | North Atlantic |
genre_facet | North Atlantic |
id | ftciteseerx:oai:CiteSeerX.psu:10.1.1.419.4846 |
institution | Open Polar |
language | English |
op_collection_id | ftciteseerx |
op_relation | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4846 http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf |
op_rights | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
op_source | http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf |
publishDate | 2008 |
record_format | openpolar |
spelling | ftciteseerx:oai:CiteSeerX.psu:10.1.1.419.4846 2025-01-16T23:38:55+00:00 FrA16.5 Applying engineering feedback analysis tools to climate dynamics Douglas G. Macmynowski Eli Tziperman The Pennsylvania State University CiteSeerX Archives 2008 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4846 http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4846 http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf text 2008 ftciteseerx 2016-01-08T03:52:50Z 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 Niño/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. I. Text North Atlantic Unknown |
spellingShingle | Douglas G. Macmynowski Eli Tziperman FrA16.5 Applying engineering feedback analysis tools to climate dynamics |
title | FrA16.5 Applying engineering feedback analysis tools to climate dynamics |
title_full | FrA16.5 Applying engineering feedback analysis tools to climate dynamics |
title_fullStr | FrA16.5 Applying engineering feedback analysis tools to climate dynamics |
title_full_unstemmed | FrA16.5 Applying engineering feedback analysis tools to climate dynamics |
title_short | FrA16.5 Applying engineering feedback analysis tools to climate dynamics |
title_sort | fra16.5 applying engineering feedback analysis tools to climate dynamics |
url | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4846 http://www.seas.harvard.edu/climate/eli/reprints/MacMynowski-Tziperman-2008a.pdf |