The University of Southampton
University of Southampton Institutional Repository

A comparison of oceanic skin effect parameterisations using ship borne radiometer data

Record type: Article

Sea surface temperature data from a shipborne radiometer were used to assess the thermal skin effect parameterization schemes of Saunders [1967], Hasse [1971], Schlüssel et al. [1990], and Soloviev and Schlüssel [1994]. Under low-wind, high-insolation conditions, the presence of a near surface thermocline resulted in an apparent skin effect which depended on the history of the surface heating. Neglecting these cases, the Saunders [1967] and other schemes which omit solar radiation were the most effective. The observed variation with wind speed of the adjustable coefficient, ? s , in the Saunders formulae was similar to that predicted by Soloviev and Schlüssel [1994], but the values were significantly higher, resulting in a greater magnitude of the observed skin effect. For the conditions occurring in this data set the better formulae predicted the skin effect with a standard deviation of ±0.16° C compared to a variation of the observed skin effect of nearly ±0.3°C.

Full text not available from this repository.

Citation

Kent, Elizabeth C., Forrester, Thomas N. and Taylor, Peter K. (1996) A comparison of oceanic skin effect parameterisations using ship borne radiometer data Journal of Geophysical Research, 101, (C7), pp. 16649-16666. (doi:10.1029/96JC01054).

More information

Published date: 1996
Keywords: SST, skin effect, radiometer, ship

Identifiers

Local EPrints ID: 55823
URI: http://eprints.soton.ac.uk/id/eprint/55823
ISSN: 0148-0227
PURE UUID: 4d8f3f92-e523-4cd4-a940-b707f673a3fe

Catalogue record

Date deposited: 06 Aug 2008
Last modified: 17 Jul 2017 14:31

Export record

Altmetrics

Contributors

Author: Elizabeth C. Kent
Author: Thomas N. Forrester
Author: Peter K. Taylor

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×