Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery

The Subtropical Front (STF) is a global front which extends around the Southern Ocean and is the boundary where the Subantarctic Surface Water mass (SAW) converges with the Subtropical Surface Water mass (STW). The Southland Front (SF) is part of the STF, which lies off the east coast of the South I...

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Published in:Remote Sensing of Environment
Main Authors: Shaw, A.G.P., Vennell, R.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2001
Subjects:
Soi
Online Access:https://eprints.soton.ac.uk/41488/
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spelling ftsouthampton:oai:eprints.soton.ac.uk:41488 2023-07-30T04:07:03+02:00 Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery Shaw, A.G.P. Vennell, R. 2001 https://eprints.soton.ac.uk/41488/ unknown Shaw, A.G.P. and Vennell, R. (2001) Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery. Remote Sensing of Environment, 75 (1), 47-62. (doi:10.1016/S0034-4257(00)00155-3 <http://dx.doi.org/10.1016/S0034-4257(00)00155-3>). Article PeerReviewed 2001 ftsouthampton https://doi.org/10.1016/S0034-4257(00)00155-3 2023-07-09T20:49:12Z The Subtropical Front (STF) is a global front which extends around the Southern Ocean and is the boundary where the Subantarctic Surface Water mass (SAW) converges with the Subtropical Surface Water mass (STW). The Southland Front (SF) is part of the STF, which lies off the east coast of the South Island, New Zealand. The SF is narrow, approximately 8 km, with a temperature difference of approximately 1.8°C which can be detected using remote sensing Advanced Very High Resolution Radiometer (AVHRR) sea surface temperature (SST) data. The work presented here is an application of remote sensing for the first detailed study of the surface spatial and temporal variability of the SF. The variability of the SF was quantified using an algorithm developed to follow the Front using AVHRR SST imagery. The algorithm used a new approach to determine the position, mean SST, SST difference, width, and gradient across the Front. Three time scales of variability were examined: long-term (3 years), annual, and seasonal. The algorithm efficiently followed the SF and consistently showed the 3-year mean position was stable and constrained by the bathymetry of the continental slope. Seasonally, the front moved inshore during summer. The temperature gradient across the front was strongest and the front narrowest in winter. The decrease in SST gradient during the 3-year data set coincided with the decrease in Southern Oscillation Index (SOI). Article in Journal/Newspaper Southern Ocean University of Southampton: e-Prints Soton New Zealand Soi ENVELOPE(30.704,30.704,66.481,66.481) Southern Ocean Remote Sensing of Environment 75 1 47 62
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language unknown
description The Subtropical Front (STF) is a global front which extends around the Southern Ocean and is the boundary where the Subantarctic Surface Water mass (SAW) converges with the Subtropical Surface Water mass (STW). The Southland Front (SF) is part of the STF, which lies off the east coast of the South Island, New Zealand. The SF is narrow, approximately 8 km, with a temperature difference of approximately 1.8°C which can be detected using remote sensing Advanced Very High Resolution Radiometer (AVHRR) sea surface temperature (SST) data. The work presented here is an application of remote sensing for the first detailed study of the surface spatial and temporal variability of the SF. The variability of the SF was quantified using an algorithm developed to follow the Front using AVHRR SST imagery. The algorithm used a new approach to determine the position, mean SST, SST difference, width, and gradient across the Front. Three time scales of variability were examined: long-term (3 years), annual, and seasonal. The algorithm efficiently followed the SF and consistently showed the 3-year mean position was stable and constrained by the bathymetry of the continental slope. Seasonally, the front moved inshore during summer. The temperature gradient across the front was strongest and the front narrowest in winter. The decrease in SST gradient during the 3-year data set coincided with the decrease in Southern Oscillation Index (SOI).
format Article in Journal/Newspaper
author Shaw, A.G.P.
Vennell, R.
spellingShingle Shaw, A.G.P.
Vennell, R.
Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
author_facet Shaw, A.G.P.
Vennell, R.
author_sort Shaw, A.G.P.
title Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
title_short Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
title_full Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
title_fullStr Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
title_full_unstemmed Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
title_sort measurements of an oceanic front using a front-following algorithm for avhrr sst imagery
publishDate 2001
url https://eprints.soton.ac.uk/41488/
long_lat ENVELOPE(30.704,30.704,66.481,66.481)
geographic New Zealand
Soi
Southern Ocean
geographic_facet New Zealand
Soi
Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation Shaw, A.G.P. and Vennell, R. (2001) Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery. Remote Sensing of Environment, 75 (1), 47-62. (doi:10.1016/S0034-4257(00)00155-3 <http://dx.doi.org/10.1016/S0034-4257(00)00155-3>).
op_doi https://doi.org/10.1016/S0034-4257(00)00155-3
container_title Remote Sensing of Environment
container_volume 75
container_issue 1
container_start_page 47
op_container_end_page 62
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