Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48189
Title: Inverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyre
Authors: Machin, F. 
Herraiz, L.
Pelegrí Llopart,José Luis 
Marrero-Diaz, A. 
Font, J.
Rodriguez-Santana, A. 
UNESCO Clasification: 251007 Oceanografía física
Keywords: (10.5–5.5 °W/33.5–37.5 °N)
Inverse model
Upper ocean
Expandable bathythermograph
Issue Date: 2010
Project: Esp2005-06823-C05-04 Calibración de Las Medidas Obtenidas Por El Radiometro Miras de la Mision Smos y Generacion de Mapas de Salinidad y Humedad Del Suelo. Parte Ulpgc 
Journal: Journal of Marine Systems 
Conference: 1st International Symposium on Marine Sciences 
Abstract: 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° × 12°) 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° × 2°) 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.
URI: http://hdl.handle.net/10553/48189
ISSN: 0924-7963
DOI: 10.1016/j.jmarsys.2009.10.005
Source: Journal Of Marine Systems [ISSN 0924-7963], v. 80 (3-4), p. 144-159
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