Modeling the SAR Signature of Nonlinear Internal Waves
Abstract
Nonlinear Internal Waves are pervasive globally, particularly in coastal waters. The currents and displacements associated with internal waves influence acoustic propagation and underwater navigation, as well as ocean transport and mixing. Synthetic Aperture Radar (SAR) imagery can reveal the surface manifestations of internal waves (IWs) in satellite imagery and so is routinely used to locate and characterize these features. Though some of the mechanisms that link the SAR signatures, surface processes, and the underlying internal structures have been understood for decades, a complete characterization has yet to emerge, making SAR imagery useful only as a qualitative tool. The objective of this research is to develop and validate a forward model to predict the SAR signature of NLIWs that explicitly includes relevant mechanisms that impact the sea surface roughness and corresponding backscattering cross section, such as wind speed and direction, compound modulation (i.e. modulation of intermediate-scale waves by IWs, which in turn modulate smaller waves), microscale breaking and breaking waves.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2008
- Accession Number
- ADA479256
Entities
People
- Ellen E. Lettvin
Organizations
- University of Washington