A new hurricane wind retrieval algorithm for SAR images

A new algorithm for hurricane wind retrieval is developed based on the primary characteristics of hurricane processes. By assuming constant wind speeds and equal‐distant wind directions in three neighboring sub‐image blocks of any specific concentric circle around the hurricane eye, both wind speed and wind direction are resolved without any external information. To evaluate the accuracy of the new algorithm, a Radarsat‐1 synthetic aperture radar image of hurricane Isabel is studied. The retrieved wind speed is compared with QuikSCAT scatterometer winds and in situ winds. Good consistency is shown. Since the new algorithm doesn't rely on any external wind information, fine resolution wind structures can be retrieved without adding errors due to linear interpolation of the externally‐derived coarse‐resolution wind direction.

[1]  Kerry A. Emanuel,et al.  The Theory of Hurricanes , 1991 .

[2]  T. Stein International Geoscience And Remote Sensing Symposium , 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

[3]  Timothy A. Reinhold,et al.  Hurricane Andrew's Landfall in South Florida. Part I: Standardizing Measurements for Documentation of Surface Wind Fields , 1996 .

[4]  Mark D. Powell,et al.  Hurricane Andrew's Landfall in South Florida. Part II: Surface Wind Fields and Potential Real-Time Applications , 1996 .

[5]  David L. T. Anderson,et al.  Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4 , 1997 .

[6]  K. Katsaros,et al.  Observation of tropical cyclones by high-resolution scatterometry , 1998 .

[7]  P. Vachon,et al.  Analysis of ERS-1/2 synthetic aperture radar wave mode imagettes , 1998 .

[8]  R. Beal,et al.  Mapping High-Resolution Wind Fields Using Synthetic Aperture Radar , 2000 .

[9]  Jochen Horstmann,et al.  Wind retrieval over the ocean using synthetic aperture radar with C-band HH polarization , 2000, IEEE Trans. Geosci. Remote. Sens..

[10]  P. Vachon,et al.  Wind Retrieval from RADARSAT SAR Images: Selection of a Suitable C-Band HH Polarization Wind Retrieval Model , 2000 .

[11]  W. Timothy Liu,et al.  QuikSCAT geophysical model function for tropical cyclones and application to Hurricane Floyd , 2001, IEEE Trans. Geosci. Remote. Sens..

[12]  G. Young,et al.  Supplement to Rolls, Streets, Waves, and More , 2002 .

[13]  T. Sikora,et al.  Direct Influence of Gravity Waves on Surface-Layer Stress during a Cold Air Outbreak, as shown by Synthetic Aperture Radar , 2002 .

[14]  Marcos Portabella Arnús Wind Field Retrieval from Satellite Radar Systems , 2002 .

[15]  G. Young,et al.  ROLLS, STREETS, WAVES, AND MORE: A Review of Quasi-Two-Dimensional Structures in the Atmospheric Boundary Layer , 2002 .

[16]  Paris W. Vachon,et al.  Characterization of hurricane eyes in RADARSAT-1 images with wavelet analysis , 2003 .

[17]  Paris W. Vachon,et al.  A new wind vector algorithm for C-band SAR , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[18]  H. Graber,et al.  Can synthetic aperture radars be used to estimate hurricane force winds? , 2005 .

[19]  Ralph C. Foster,et al.  Why Rolls are Prevalent in the Hurricane Boundary Layer , 2005 .

[20]  William Perrie,et al.  Progress in Determination of Wind Vectors from SAR Images , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[21]  Yijun He,et al.  ON DETERMINATION OF WIND VECTORS FOR C-BAND SAR , 2006 .

[22]  W. Perrie,et al.  Impacts of Waves and Sea Spray on Midlatitude Storm Structure and Intensity , 2006 .

[23]  F. Monaldo,et al.  THE SAR MEASUREMENT OF OCEAN SURFACE WINDS : AN OVERVIEW FOR THE 2 ND WORKSHOP ON COASTAL AND MARINE APPLICATIONS OF SAR , 2022 .