Using Surface Pressure To Improve Tropical Cyclone /Surface Wind Retrievals From SAR

Abstract

Synthetic aperture radar (SAR) images of the sea surface underneath tropical cyclones have the potential to provide air-sea interaction data at km-scale resolution. However, many challenges remain in extracting such data in these extreme environments. This research focused on the problem of extracting surface vector wind and sea-level pressure fields from the SAR images. The geophysical model functions (GMFs) that describe the radar backscatter are currently poorly characterized for the very high winds and sea states in tropical cyclones. Calibration and validation of GMFs is severely inhibited by the lack of accurate in situ surface wind data. We demonstrate that surface pressure data provides a more useful method for validating and improving surface vector wind retrievals and that scene-wide wind vector retrievals that employ our technique are superior to the standard pixel-by-pixel methodologies that are currently standard practice. Aircraft and in situ data from the Impact of Typhoons on the Pacific (ITOP) 2010 field program were used to develop and demonstrate the methodology.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 19, 2012
Accession Number
ADA557971

Entities

People

  • Jerome Patoux
  • Ralph Foster

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Aspect Ratio
  • Atmospheric Sciences
  • Boundaries
  • Boundary Layer
  • Calibration
  • Cyclones
  • Extreme Environments
  • Geometry
  • High Resolution
  • Measurement
  • Physics Laboratories
  • Pressure Gradients
  • Sea Level
  • Synthetic Aperture Radar
  • Tropical Cyclones
  • Wind Direction

Fields of Study

  • Environmental science

Readers

  • Image Processing and Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Radar Systems Engineering.