Moored surface buoy observations of the diurnal warm layer. Issue 9 (13th September 2013)

• Record Type: Journal Article
• Authors: Prytherch, J.; Farrar, J. T.; Weller, R. A.
• Is Part Of: Journal of geophysical research. Volume 118:Issue 9(2013:Sep.)
• Page Start: 4553
• Page End: 4569
• Publication Date: 2013-09-13
• Subjects: Oceanography -- Periodicals; 551.4605
• DOI: 10.1002/jgrc.20360
• Languages: English
• ISSNs: 2169-9275

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>[1] An extensive data set is used to examine the dynamics of diurnal warming in the upper ocean. The data set comprises more than 4700 days of measurements at five sites in the tropics and subtropics, obtained from surface moorings equipped to make comprehensive meteorological, incoming solar and infrared radiation, and high‐resolution subsurface temperature (and, in some cases, velocity) measurements. The observations, which include surface warmings of up to 3.4°C, are compared with a selection of existing models of the diurnal warm layer (DWL). A simple one‐layer physical model is shown to give a reasonable estimate of both the magnitude of diurnal surface warming (model‐observation correlation 0.88) and the structure and temporal evolution of the DWL. Novel observations of velocity shear obtained during 346 days at one site, incorporating high‐resolution (1 m) upper ocean (5–15 m) acoustic Doppler current profile measurements, are also shown to be in reasonable agreement with estimates from the physical model (daily maximum shear model‐observation correlation 0.77). Physics‐based improvements to the one‐layer model (incorporation of rotation and freshwater terms) are discussed, though they do not provide significant improvements against the observations reported here. The simplicity and limitations of the physical model are used to discuss DWL dynamics. The physical model is shown to give better model performance under the range of forcing conditions experienced across the five sites than the more empirical models.</p> </abstract>