Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre
We test the skill of a polynomial fit to reproduce the upper ocean (down to 750 m) salinity in the eastern North Atlantic (from the Canary Islands to the Iberian Peninsula, approximately 12 degrees x 12 degrees) as a function of temperature and depth. A historical database, constructed by merging se...
Published in: | Journal of Marine Systems |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier Science Bv
2010
|
Subjects: | |
Online Access: | https://doi.org/10.1016/j.jmarsys.2009.10.005 http://ecite.utas.edu.au/71445 |
id |
ftunivtasecite:oai:ecite.utas.edu.au:71445 |
---|---|
record_format |
openpolar |
spelling |
ftunivtasecite:oai:ecite.utas.edu.au:71445 2023-05-15T17:31:09+02:00 Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre Machin, F Herraiz, L Pelegri, JL Marrero-Diaz, A Font, J Rodriguez-Santana, A 2010 https://doi.org/10.1016/j.jmarsys.2009.10.005 http://ecite.utas.edu.au/71445 en eng Elsevier Science Bv http://dx.doi.org/10.1016/j.jmarsys.2009.10.005 Machin, F and Herraiz, L and Pelegri, JL and Marrero-Diaz, A and Font, J and Rodriguez-Santana, A, Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre, Journal of Marine Systems, 80, (3-4) pp. 144-159. ISSN 0924-7963 (2010) [Refereed Article] http://ecite.utas.edu.au/71445 Earth Sciences Oceanography Chemical Oceanography Refereed Article PeerReviewed 2010 ftunivtasecite https://doi.org/10.1016/j.jmarsys.2009.10.005 2019-12-13T21:38:57Z We test the skill of a polynomial fit to reproduce the upper ocean (down to 750 m) salinity in the eastern North Atlantic (from the Canary Islands to the Iberian Peninsula, approximately 12 degrees x 12 degrees) as a function of temperature and depth. A historical database, constructed by merging several regional datasets, is used. An ANOVA test is performed to determine the optimum degree Of temperature and depth in the polynomial fit. The polynomial coefficients are estimated by solving an inverse model where we control the size of both coefficients and residuals. We divide the basin in 21 zones (2 degrees x 2 degrees) and four regions (each comprising several zones), and run the inversion for the whole basin, as well as for each individual region and zone. This allows us to assess the sensitivity of the model to changes in the spatial domain, and to investigate the spatial variability of the polynomial coefficients. Regions are defined by applying a cluster analysis to objectively group those zones with similar oceanographic properties. The seasonality of the coefficients is addressed with data from the whole basin and individual regions. We find that, for either the whole basin or individual regions, seasonal coefficients predict salinity more accurately than annual ones, but annual coefficients per zone yet provide the best results. The depth-averaged error estimating salinity is less than 0.086 psu. Article in Journal/Newspaper North Atlantic eCite UTAS (University of Tasmania) Journal of Marine Systems 80 3-4 144 159 |
institution |
Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Earth Sciences Oceanography Chemical Oceanography |
spellingShingle |
Earth Sciences Oceanography Chemical Oceanography Machin, F Herraiz, L Pelegri, JL Marrero-Diaz, A Font, J Rodriguez-Santana, A Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre |
topic_facet |
Earth Sciences Oceanography Chemical Oceanography |
description |
We test the skill of a polynomial fit to reproduce the upper ocean (down to 750 m) salinity in the eastern North Atlantic (from the Canary Islands to the Iberian Peninsula, approximately 12 degrees x 12 degrees) as a function of temperature and depth. A historical database, constructed by merging several regional datasets, is used. An ANOVA test is performed to determine the optimum degree Of temperature and depth in the polynomial fit. The polynomial coefficients are estimated by solving an inverse model where we control the size of both coefficients and residuals. We divide the basin in 21 zones (2 degrees x 2 degrees) and four regions (each comprising several zones), and run the inversion for the whole basin, as well as for each individual region and zone. This allows us to assess the sensitivity of the model to changes in the spatial domain, and to investigate the spatial variability of the polynomial coefficients. Regions are defined by applying a cluster analysis to objectively group those zones with similar oceanographic properties. The seasonality of the coefficients is addressed with data from the whole basin and individual regions. We find that, for either the whole basin or individual regions, seasonal coefficients predict salinity more accurately than annual ones, but annual coefficients per zone yet provide the best results. The depth-averaged error estimating salinity is less than 0.086 psu. |
format |
Article in Journal/Newspaper |
author |
Machin, F Herraiz, L Pelegri, JL Marrero-Diaz, A Font, J Rodriguez-Santana, A |
author_facet |
Machin, F Herraiz, L Pelegri, JL Marrero-Diaz, A Font, J Rodriguez-Santana, A |
author_sort |
Machin, F |
title |
Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre |
title_short |
Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre |
title_full |
Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre |
title_fullStr |
Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre |
title_full_unstemmed |
Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre |
title_sort |
inverse modeling of salinity-temperature-depth relationships: application to the upper eastern north atlantic subtropical gyre |
publisher |
Elsevier Science Bv |
publishDate |
2010 |
url |
https://doi.org/10.1016/j.jmarsys.2009.10.005 http://ecite.utas.edu.au/71445 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://dx.doi.org/10.1016/j.jmarsys.2009.10.005 Machin, F and Herraiz, L and Pelegri, JL and Marrero-Diaz, A and Font, J and Rodriguez-Santana, A, Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre, Journal of Marine Systems, 80, (3-4) pp. 144-159. ISSN 0924-7963 (2010) [Refereed Article] http://ecite.utas.edu.au/71445 |
op_doi |
https://doi.org/10.1016/j.jmarsys.2009.10.005 |
container_title |
Journal of Marine Systems |
container_volume |
80 |
container_issue |
3-4 |
container_start_page |
144 |
op_container_end_page |
159 |
_version_ |
1766128481129725952 |