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dc.contributor.authorTziperman, Eli
dc.contributor.authorThacker, William C.
dc.contributor.authorLong, Robert B.
dc.contributor.authorHwang, Show-Ming
dc.date.accessioned2009-11-30T20:54:35Z
dc.date.issued1992
dc.identifier.citationTziperman, Eli, William C. Thacker, Robert B. Long, and Show-Ming Hwang. 1992. Oceanic data analysis using a general circulation model. Part II: A North Atlantic model. Journal of Physical Oceanography 22(12): 1458–1485.en_US
dc.identifier.issn0022-3670en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:3425908
dc.description.abstractA general circulation model and North Atlantic climatological data of temperature salinity, wind stress, evaporation minus precipitation, and air–sea heat fluxes are used to examine the possibility of solving inverse problems using a full-scale numerical GCM and real oceanographic data, combined through an optimization approach. In this study several solutions for the model inputs and the structure of the cost function as a function of the model inputs are examined to demonstrate two of the main difficulties confronting such large-case nonlinear inverse problems (about 30 000 unknowns and a similar number of constraints for the problem examined here). The first is the possible existence of local minima of the cost function, which prevents convergence of the optimization to the global minimum representing the desired optimal solution for the model inputs. The second difficulty, which seems the dominant one for many of the problem examined in this part as well as in Part I, is the ill conditioning of the inverse problem. Simple model equations are used to analyze the conditioning of the optimization problem and to analyze the role of both dissipation and waves in the model dynamics in conditioning the problem. The analysis suggests what might be an improved formulation of the cost function resulting in better conditioning of the problem. The relation between the optimization approach and the robust diagnostic method of Sarmiento and Bryan is explicitly demonstrated, and the solution obtained by combining the two methods is used to examine the performance of the GCM used here for the North Atlantic Ocean.en_US
dc.description.sponsorshipEarth and Planetary Sciencesen_US
dc.language.isoen_USen_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1175/1520-0485(1992)022<1458:ODAUAG>2.0.CO;2en_US
dc.relation.hasversionhttp://ams.allenpress.com/perlserv/?request=res-loc&uri=urn%3Aap%3Apdf%3Adoi%3A10.1175%2F1520-0485%281992%29022%3C1458%3AODAUAG%3E2.0.CO%3B2
dash.licenseMETA_ONLY
dc.titleOceanic Data Analysis Using a General Circulation Model. Part II: A North Atlantic Modelen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalJournal of Physical Oceanographyen_US
dash.depositing.authorTziperman, Eli
dash.embargo.until10000-01-01
dc.identifier.doi10.1175/1520-0485(1992)022<1458:ODAUAG>2.0.CO;2*
dash.contributor.affiliatedTziperman, Eli


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