Air-Sea Fluxes from Synthetic Aperture Radar

Abstract

My long-term goal is the testing and refinement of a Monin-Obukhov and mixed-layer similarity-based method for the extraction of marine atmospheric boundary layer turbulence statistics from synthetic aperture radar (SAR)-derived wind speed imagery of the sea surface (first described in Young et al. (2000) and hereafter referred to as the SAR method). A plethora of SAR data is available from the Johns Hopkins University Applied Physics Laboratory (JHU/APL) in conjunction with the National Oceanic and Atmospheric Administration (NOAA) Storm Watch / Alaska SAR demonstration. In addition, my research has transitioned from sole-source Office of Naval Research (ONR) funding to a cost-share between ONR and the National Aeronautics and Space Administration (NASA). My collaborators on my NASA grant are Pierre Mourad, Ralph Foster, and Matt Wyant of the University of Washington Applied Physics Laboratory (UW/APL). We have begun testing the SAR method on wind images of the Tropical Atmosphere-Ocean buoy array area as well as on wind images corresponding to SHOWEX. Before this testing can proceed in earnest, we must address the following obstacle: Wind speeds statistics generated from identical SAR imagery by different parties can differ greatly. I will discuss this issue further in the Results section of this document.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA627291

Entities

People

  • Todd D. Sikora

Organizations

  • United States Naval Academy

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Boundary Layer
  • Data Science
  • Demonstrations
  • High Resolution
  • Information Science
  • Layers
  • Physics
  • Physics Laboratories
  • Radar
  • Statistics
  • Synthetic Aperture Radar
  • Turbulence
  • United States
  • United States Naval Academy
  • Wind Direction

Fields of Study

  • Environmental science

Readers

  • Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Research Science/Academic Research

Technology Areas

  • Space
  • Space - Space Objects