By Topic

High-resolution airborne infrared measurements of ocean skin temperature

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
C. J. Zappa ; Woods Hole Oceanogr. Instn., MA, USA ; A. T. Jessup

Airborne measurements of ocean skin temperature Ts are presented from the Coupled Boundary Layers, Air-Sea Transfer in Low Winds (CBLAST-Low) Pilot Experiment in August 2001 off Martha's Vineyard, MA. We used an infrared (IR) camera with a spatial resolution of 1 m or less and temperature resolution of roughly 0.02°C. Using subframe sampling of the IR imagery, we achieve lower noise and higher spatial resolution than reported by previous investigators using IR radiometers. Fine-scale maps of Ts exhibit horizontal variability over spatial scales ranging from O(10 km) down to O(1 m) that are related to atmospheric and subsurface phenomena under low to moderate wind conditions. Based on supporting measurements of wind and waves, we identify coherent ramp-like structures in Ts with stratification breakdown and meandering streaky features with internal waves. Regional maps of Ts show the standard deviation for the region is ±1.04°C, while the meridional and zonal variability is 0.23°C · km-1 and 0.27°C · km-1, respectively. This temperature variability results in meridional and zonal scalar heat flux variability of 7.0 W · m-2 · km-1 and 7.6 W · m-2 · km-1, respectively. Our results demonstrate the potential for airborne IR imagery accompanied by high-quality ocean data to identify Ts features produced by subsurface circulation.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:2 ,  Issue: 2 )