High-Resolution hurricane vector winds from C-band dual-polarization SAR observations

Biao Zhang, William Perrie, Jun A. Zhang, Eric W. Uhlhorn, Yijun He

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

Abstract

This study presents a new approach for retrieving hurricane surface wind vectors utilizing C-band dualpolarization (VV, VH) synthetic aperture radar (SAR) observations. The copolarized geophysical model function [C-band model 5.N (CMOD5.N)] and a new cross-polarized wind speed retrieval model for dual polarization [C-band cross-polarized ocean surface wind retrievalmodel for dual-polarization SAR (C-2POD)] are employed to construct a cost function. Minimization of the cost function allows optimum estimates for the wind speeds and directions. The wind direction ambiguities are removed using a parametric two-dimensional sea surface inflow angle model. To evaluate the accuracy of the proposed method, two RADARSAT-2 SAR images of Hurricanes Bill and Bertha are analyzed. The retrieved wind speeds and directions are compared with collocated Quick Scatterometer (QuikSCAT) winds, showing good consistency. Results suggest that the proposed method has good potential to retrieve hurricane surface wind vectors from dual-polarization SAR observations.

Original languageEnglish (US)
Pages (from-to)272-286
Number of pages15
JournalJournal of Atmospheric and Oceanic Technology
Volume31
Issue number2
DOIs
StatePublished - Feb 2014

Keywords

  • Hurricanes
  • Hurricanes/typhoons
  • Remote sensing
  • Satellite observations
  • Wind

ASJC Scopus subject areas

  • Ocean Engineering
  • Atmospheric Science

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