Field Sites
STENNIS
MONTEREY
VXS-1
CHESAPEAKE BAY DET.
SHADWELL
Visitor Information
PLANNING A VISIT
DIRECTIONS
MAPS
WEATHER & TRAFFIC
Search
INFORMATION SEARCH
NRL WEB SITES
Contact NRL
PERSONNEL LOCATOR
HUMAN RESOURCES
PUBLIC AFFAIRS OFFICE
Pipeline
Accomplishments
AWARDS & RECOGNITIONS
TIME LINE
SYSTEMS
ROCKETS
SOLAR & LUNAR STUDIES
ASTRONOMY
OCEAN & ENVIRONMENT
MATERIALS
Research
DIRECTORATES & DIVISIONS
NANOSCIENCE INSTITUTE
NRL REVIEW
FUTURE NAVAL CAPABILITIES
NRL RESEARCH LIBRARY
FACILITIES
PROGRAM SPONSORS
Accept the Challenge
WORKING AT NRL
CAREER OPPORTUNITIES
STUDENTS & POSTDOCS
ABOUT THE AREA
About NRL
MISSION
HISTORY
COMMANDING OFFICER
DIRECTOR OF RESEARCH
RESERVE PROGRAM
INSPECTOR GENERAL
Doing Business with NRL
TECH TRANSFER
CONTRACTING DIVISION
SMALL BUSINESS
News Room
PUBLIC AFFAIRS OFFICE
NEWS RELEASES 2009
PUBLICATIONS
POPULAR IMAGES
PUBLIC NOTICES
skip to page contentField SitesVisitor InfoSearchContact NRLPipeline
positioning image
link to home pageAccomplishmentsResearchAccept The ChallengeAbout NRLDoing Business with NRLNews Room
positioning image / NRL / Research / NRL Review / '02 / Ocean Science / Anatomy of the Ocean Surface...
positioning image positioning image positioning image positioning image
positioning image Anatomy of the Ocean Surface Roughness
Page 1

Page 2

P.A. Hwang, D.W. Wang, W.J. Teague, and G.A. Jacobs
Oceanography Division

Introduction: Water waves are the roughness components of the ocean surface. Their presence causes wind drag, which is an important topic of airsea momentum transfer. From a remote sensing point of view, surface roughness is an important parameter quantifying the scattering of electromagnetic waves (including radar and optical waves). Understanding the ocean surface roughness properties is clearly important to many areas of physical oceanography and ocean remote sensing.

The Conventional View: Traditionally, the ocean surface roughness is equated to the meansquare slope of the ocean surface waves. Results from ocean wave research show a logarithmic increase with wind speed of the mean-square slopes computed from well-established spectral models.1 This result is consistent with the surface roughness data collected by Cox and Munk (referred to as CM hereafter) in slick surface conditions.2 Although the airborne measurements by CM were conducted more than a half century ago, this data set remains the most comprehensive in terms of the range of wind and wave conditions and the scope of their statistical analysis; they were able to produce coherent slick coverage for wind conditions up to 9 m/s using man-made slicks.

In contrast to the slick cases, the computed meansquare slopes underestimate the surface roughness measured in clean water conditions by a factor of three in medium to high wind conditions (Fig. 1(a)). In most ocean remote sensing applications, this is a serious problem because clean surfaces are encountered more than slick surfaces.

The Missing Elements: CM describe that ". . . with 200 gallons of this mixture [of 40 percent used crankcase oil, 40 percent diesel oil, and 20 percent fish oil] a coherent slick 2,000 feet by 2000 feet could be laid in 25 minutes, provided the wind did not exceed 20 miles an hour [8.94 m/s]. . . . " The fact that the man-made slick remains coherent in relatively high wind speed conditions offers an important clue about the missing components of the surface roughness-that the presence of surface slicks damps out not only the small-scale surface waves but also the wave breaking event, which is an important element controlling the ocean wave dynamics. Experiments have shown that wave breaking produces enhanced surface roughness. It remains uncertain about the dynamic range (in terms of the upper bound wavenumber) of the CM optical data. By experimentation, we examine cases with cutoff wavenumbers ranging from 2π/0.3 to 2π/0.03 rad/m. The difference between the measured clean water roughness and the mean-square slope is plotted in Figs. 1(b) to 1(d). An interesting trend that becomes apparent is that the breaking roughness displays a robust powerlaw wind speed dependence U1.5.

Fig1 Image
FIGURE 1
(a) The ocean surface roughness measured in clean and slick surface conditions (symbols) reported by Cox and Munk2 and the comparison with calculated mean-square slopes based on established wave spectral models (curves).1 (b)-(d) Breaking roughness calculated from the difference of the total roughness (clean water condition) and the mean-square slopes assuming three different cutoff wavenumbers.



Next Page Next Page

NRL Home PagePrivacy Noticemail to webmaster

skip to content NRL home page