Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data

Zonal geostrophic velocity fields above 1975 dbar have been estimated for the Southern Ocean from 2004 to 2014 based on sea surface topography observed by Jason altimetry and temperature/salinity measured by Argo autonomous floats. The velocity at 1000 dbar estimated has been validated against Argo...

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Bibliographic Details
Main Author: Kosempa, Michael
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: Digital Commons @ University of South Florida 2017
Subjects:
Online Access:https://digitalcommons.usf.edu/etd/6658
https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=7855&context=etd
id ftunisfloridatam:oai:digitalcommons.usf.edu:etd-7855
record_format openpolar
spelling ftunisfloridatam:oai:digitalcommons.usf.edu:etd-7855 2023-05-15T14:01:06+02:00 Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data Kosempa, Michael 2017-03-13T07:00:00Z application/pdf https://digitalcommons.usf.edu/etd/6658 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=7855&context=etd unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/etd/6658 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=7855&context=etd default Graduate Theses and Dissertations Jason Argo Antarctic Circumpolar Current Transport Dynamics Oceanography dissertation 2017 ftunisfloridatam 2021-10-09T07:29:18Z Zonal geostrophic velocity fields above 1975 dbar have been estimated for the Southern Ocean from 2004 to 2014 based on sea surface topography observed by Jason altimetry and temperature/salinity measured by Argo autonomous floats. The velocity at 1000 dbar estimated has been validated against Argo drift trajectory at the same pressure level available from the Asia Pacific Data Research Center (APDRC). Errors in mapping of dynamic ocean topography, temperature, and salinity have been quantified using the Southern Ocean State Estimate (SOSE). Analysis of errors reveals significant correlations between depth-dependent and –independent contributions to the integrated transport. Further analysis revealed optimal locations of historical ship casts to compliment the transport time series as observed by Argo. Quantifying the error associated with the historical hydrographic section indicated little benefit in combining hydrographic data obtained from ships. The anticorrelation between depth-dependent and – independent contributions was again significant in sampling by ships. The proposed explanation of the anticorrelation in error is underestimation of reference velocity by attenuation and overestimation of depth-dependent transport by attenuation of the velocity shear. Doctoral or Postdoctoral Thesis Antarc* Antarctic Southern Ocean Digital Commons University of South Florida (USF) Antarctic Pacific Southern Ocean
institution Open Polar
collection Digital Commons University of South Florida (USF)
op_collection_id ftunisfloridatam
language unknown
topic Jason
Argo
Antarctic Circumpolar Current
Transport Dynamics
Oceanography
spellingShingle Jason
Argo
Antarctic Circumpolar Current
Transport Dynamics
Oceanography
Kosempa, Michael
Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data
topic_facet Jason
Argo
Antarctic Circumpolar Current
Transport Dynamics
Oceanography
description Zonal geostrophic velocity fields above 1975 dbar have been estimated for the Southern Ocean from 2004 to 2014 based on sea surface topography observed by Jason altimetry and temperature/salinity measured by Argo autonomous floats. The velocity at 1000 dbar estimated has been validated against Argo drift trajectory at the same pressure level available from the Asia Pacific Data Research Center (APDRC). Errors in mapping of dynamic ocean topography, temperature, and salinity have been quantified using the Southern Ocean State Estimate (SOSE). Analysis of errors reveals significant correlations between depth-dependent and –independent contributions to the integrated transport. Further analysis revealed optimal locations of historical ship casts to compliment the transport time series as observed by Argo. Quantifying the error associated with the historical hydrographic section indicated little benefit in combining hydrographic data obtained from ships. The anticorrelation between depth-dependent and – independent contributions was again significant in sampling by ships. The proposed explanation of the anticorrelation in error is underestimation of reference velocity by attenuation and overestimation of depth-dependent transport by attenuation of the velocity shear.
format Doctoral or Postdoctoral Thesis
author Kosempa, Michael
author_facet Kosempa, Michael
author_sort Kosempa, Michael
title Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data
title_short Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data
title_full Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data
title_fullStr Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data
title_full_unstemmed Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data
title_sort southern ocean transport by combining satellite altimetry and temperature/salinity profile data
publisher Digital Commons @ University of South Florida
publishDate 2017
url https://digitalcommons.usf.edu/etd/6658
https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=7855&context=etd
geographic Antarctic
Pacific
Southern Ocean
geographic_facet Antarctic
Pacific
Southern Ocean
genre Antarc*
Antarctic
Southern Ocean
genre_facet Antarc*
Antarctic
Southern Ocean
op_source Graduate Theses and Dissertations
op_relation https://digitalcommons.usf.edu/etd/6658
https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=7855&context=etd
op_rights default
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