An interferometric approach to ocean surface velocity imaging using multi-channel SAR

2017 ◽  
Author(s):  
Mark Sletten ◽  
Jakov Toporkov
Keyword(s):  
Ocean Surface ◽  
Surface Velocity ◽  
Velocity Imaging

Ocean Surface Velocity

2014 ◽  
pp. 461-469
Author(s):  
Bertrand Chapron ◽  
Johnny Johannessen ◽  
Fabrice Collard
Keyword(s):  
Ocean Surface ◽  
Surface Velocity

Wind Stress Dependence on Ocean Surface Velocity: Implications for Mechanical Energy Input to Ocean Circulation

2006 ◽  
Vol 36 (2) ◽  
pp. 202-211 ◽  
Author(s):  
Thomas H. A. Duhaut ◽  
David N. Straub
Keyword(s):  
Wind Stress ◽  
Ocean Circulation ◽  
Energy Input ◽  
Mechanical Energy ◽  
Quadratic Function ◽  
Ocean Surface ◽  
Power Source ◽  
Surface Velocity ◽  
Stress Dependence ◽  
Scaling Arguments

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%.

Multibaseline ATI-SAR for robust ocean surface velocity estimation

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

Design Principles and Considerations for Spaceborne ATI SAR-Based Observations of Ocean Surface Velocity Vectors

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

Ocean surface velocity estimation in multichannel ATI-SAR systems

1998 ◽  
Vol 34 (25) ◽  
pp. 2429 ◽  
Author(s):  
F. Lombardini ◽  
H.D. Griffiths ◽  
F. Gini
Keyword(s):  
Ocean Surface ◽  
Velocity Estimation ◽  
Surface Velocity

scholarly journals Mapping Surface Currents and Waves with Interferometric Synthetic Aperture Radar in Coastal Waters: Observations of Wave Breaking in Swell-Dominant Conditions*

2013 ◽  
Vol 43 (3) ◽  
pp. 563-582 ◽  
Author(s):  
Paul A. Hwang ◽  
Jakov V. Toporkov ◽  
Mark A. Sletten ◽  
Steven P. Menk
Keyword(s):  
Surface Roughness ◽  
Wave Breaking ◽  
Wave Spectrum ◽  
Ocean Surface ◽  
Breaking Waves ◽  
Surface Velocity ◽  
Synthetic Aperture ◽  
Large Area ◽  
Length Scales ◽  
Spatial Coverage

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.

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