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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Digital Commons @ University of South Florida
2017
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ftusouthflorida:oai:digitalcommons.usf.edu:etd-7855 2023-07-30T03:58:42+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/context/etd/article/7855/viewcontent/Kosempa_usf_0206D_13949.pdf unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/etd/6658 https://digitalcommons.usf.edu/context/etd/article/7855/viewcontent/Kosempa_usf_0206D_13949.pdf default USF Tampa Graduate Theses and Dissertations Jason Argo Antarctic Circumpolar Current Transport Dynamics Oceanography dissertation 2017 ftusouthflorida 2023-07-13T21:49:46Z 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 University of South Florida St. Petersburg: Digital USFSP Antarctic Pacific Southern Ocean |
institution |
Open Polar |
collection |
University of South Florida St. Petersburg: Digital USFSP |
op_collection_id |
ftusouthflorida |
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/context/etd/article/7855/viewcontent/Kosempa_usf_0206D_13949.pdf |
geographic |
Antarctic Pacific Southern Ocean |
geographic_facet |
Antarctic Pacific Southern Ocean |
genre |
Antarc* Antarctic Southern Ocean |
genre_facet |
Antarc* Antarctic Southern Ocean |
op_source |
USF Tampa Graduate Theses and Dissertations |
op_relation |
https://digitalcommons.usf.edu/etd/6658 https://digitalcommons.usf.edu/context/etd/article/7855/viewcontent/Kosempa_usf_0206D_13949.pdf |
op_rights |
default |
_version_ |
1772821443474620416 |