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dc.creatorBates, Susan Carren_US
dc.date.accessioned2012-06-07T22:54:52Z
dc.date.available2012-06-07T22:54:52Z
dc.date.created1999en_US
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-B378en_US
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en_US
dc.descriptionIncludes bibliographical references (leaves 82-86).en_US
dc.descriptionIssued also on microfiche from Lange Micrographics.en_US
dc.description.abstractThe role of thermocouple variability and its effects on tropical Atlantic SST is investigated through the generation of SST predictions using a linear inverse modeling technique developed by Penland (1989). In order to reflect the areas in which this dynamical process is active, the tropical Atlantic is divided into three regions. One is located along the equator in the central to eastern basin, one in the northern tropics along the coast of North Africa, and one in the western basin including both the western equatorial region and Caribbean. The equatorial region was chosen in order to capture the effects of thermocline variability along the equatorial wave guide. SSTs in the western and northern regions are not expected to be influenced by thermocouple variability. Previous and current studies have shown SST in these regions to be influenced by the Pacific ENSO and other atmospheric forcings. Three sets of experiments were conducted. In the first, predictions were generated using only SST as the predictor set, while the second used only heat content (as a measure of thermocline variability) as the predictor set. The third experiment combined both SST and heat content in hopes that adding subsurface information would improve SST predictions in the regions in which dynamical processes are active. Three different data sets were used: COADS observed SST, assimilated heat content and SST generated by Carton et al. (1999), and observed XBT data compiled by White (1995). Various combinations of these data were used in experiment 3. All variations reveal the same results; SST predictions are improved with the addition of subsurface variability in the equatorial region at longer lead times, while the north tropical and western regions show little to no improvement.en_US
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherTexas A&M Universityen_US
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en_US
dc.subjectoceanography.en_US
dc.subjectMajor oceanography.en_US
dc.titleThe effect of subsurface temperature variability on the predictability of SST in the tropical Atlantic Oceanen_US
dc.typeThesisen_US
thesis.degree.disciplineoceanographyen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelMastersen_US
dc.type.genrethesis
dc.type.materialtexten_US
dc.format.digitalOriginreformatted digitalen_US


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