Ocean Surface Velocity

Author(s):  
Bertrand Chapron ◽  
Johnny Johannessen ◽  
Fabrice Collard
2006 ◽  
Vol 36 (2) ◽  
pp. 202-211 ◽  
Author(s):  
Thomas H. A. Duhaut ◽  
David N. Straub

Abstract It is pointed out that accounting for an ocean surface velocity dependence in the wind stress τ can lead to a significant reduction in the rate at which winds input mechanical energy to the geostrophic circulation. Specifically, the wind stress is taken to be a quadratic function of Ua − uo, where Ua and uo are the 10-m wind and ocean surface velocity, respectively. Because |Ua| is typically large relative to |uo|, accounting for a uo dependence leads only to relatively small changes in τ. The change to the basin-averaged wind power source, however, is considerably larger. Scaling arguments and quasigeostrophic simulations in a basin setting are presented. They suggest that the power source (or rate of energy input) is reduced by roughly 20%–35%.


2004 ◽  
Vol 40 (2) ◽  
pp. 417-433 ◽  
Author(s):  
F. Lombardini ◽  
F. Bordoni ◽  
F. Gini ◽  
L. Verrazzani

2017 ◽  
Vol 55 (8) ◽  
pp. 4500-4519 ◽  
Author(s):  
Steffen Wollstadt ◽  
Paco Lopez-Dekker ◽  
Francesco De Zan ◽  
Marwan Younis

1998 ◽  
Vol 34 (25) ◽  
pp. 2429 ◽  
Author(s):  
F. Lombardini ◽  
H.D. Griffiths ◽  
F. Gini

2013 ◽  
Vol 43 (3) ◽  
pp. 563-582 ◽  
Author(s):  
Paul A. Hwang ◽  
Jakov V. Toporkov ◽  
Mark A. Sletten ◽  
Steven P. Menk

Abstract Airborne and spaceborne interferometric synthetic aperture radars (InSARs) produce surface velocity measurements at very high spatial resolutions over a large area. The data allow construction of the velocity strain field for highlighting ocean surface processes such as wave breaking and rip currents. Also, coherence between signals from two interferometric channels is a descriptor of the correlation condition of the surface roughness that scatters back the radar signals and it is an indication of the ocean surface turbulence. Wave breaking is a major turbulence source causing surface roughness decorrelation, thus the coherence parameter serves as an independent means for detecting wave breaking. The results of breaking detection using roughness decorrelation and critical local acceleration are comparable. In this paper, the breaking fraction in swell-dominant mixed seas along a cross-shore transect is compared with several steepness parameters characterizing different length scales of surface waves. The highest correlation coefficient (from 0.90 to 0.99) is between the breaking fraction and windsea mean square slope contributed primarily by short waves. This result reinforces the previous field observations showing that the length scales of breaking waves are much shorter than the energetic components near the spectral peak, although dominant waves and the associated wave group modulation are important in triggering the breaking process. The large spatial coverage of airborne or spaceborne operation further offers the opportunity to investigate evolution of the surface wave spectrum in high spatial (subkilometer) resolution. This capability is very useful for monitoring the coastal wave and current environment.


2019 ◽  
Vol 173 ◽  
pp. 256-350 ◽  
Author(s):  
Dudley B. Chelton ◽  
Michael G. Schlax ◽  
Roger M. Samelson ◽  
J. Thomas Farrar ◽  
M. Jeroen Molemaker ◽  
...  

2021 ◽  
Author(s):  
Laura Gomez-Navarro ◽  
Erik van Sebille ◽  
Aurelie Albert ◽  
Jean-Marc Molines ◽  
Laurent Brodeau ◽  
...  

<p>Understanding the pathways of floating material (e.g. larvae, plastics, oil) at the surface ocean is important to improve our knowledge on the surface circulation and for its ecological and environmental impacts.  For example, knowing where floating plastic and oil spills accumulate in the surface ocean can help ocean clean-up strategies.  One of the main methods of research is virtual particle simulations, which simulate the dispersion of floating material in the Ocean.  </p><p> </p><p>Previous studies have tried to understand the surface dispersion and accumulation via these numerical simulations. To define the circulation, the velocity outputs of ocean general circulation models are needed. Oceanic models have improved in the past years, but many still do not fully represent the ocean dynamics at the fine-scales (below 100 km).  The spatial resolution of ocean models and whether they include a tidal-forcing are two important model parameterizations that can determine how well the ocean dynamics are represented at the fine-scales. In this study we try to answer: How do these model characteristics affect the dispersion and accumulation of virtual particles at the ocean surface?</p><p> </p><p>To answer this, we use the ocean surface velocity outputs of different NEMO simulations to simulate the trajectories of virtual particles, and we evaluate the impact of different NEMO simulations’ spatial resolution and the presence or not of a tidal-forcing. As tidal-forcing has a big impact on the ocean model’s representation of internal tides and waves, we focus on a region where there is a high internal-tide signal: the Azores Islands.  We evaluate these impacts by looking at whether there is a difference in particles’ accumulation and dispersion in the different model scenarios.</p>


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