Wind retrieval over the ocean using synthetic aperture radar with C-band HH polarization

Citation
J. Horstmann et al., Wind retrieval over the ocean using synthetic aperture radar with C-band HH polarization, IEEE GEOSCI, 38(5), 2000, pp. 2122-2131
Citations number
32
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN journal
01962892 → ACNP
Volume
38
Issue
5
Year of publication
2000
Part
1
Pages
2122 - 2131
Database
ISI
SICI code
0196-2892(200009)38:5<2122:WROTOU>2.0.ZU;2-M
Abstract
The high spatial resolution and large coverage of satellite-based synthetic aperture radars (SAR) offers a unique opportunity to derive mesoscale wind fields over the ocean surface, providing high resolution wind fields near the shore. For this purpose, algorithms were developed and tested using the ScanSAR aboard the Canadian satellite RADARSAT-1, operating at C-band with horizontal polarization in transmit and receive. Wind directions are extra cted from wind-induced streaks visible on most SAR images. Wind speeds are derived from normalized radar cross sections (NRCS) using empirical models. The models were developed for scatterometers (SCAT) operating at C-band wi th vertical polarization and must be modified for horizontal polarization. Several available C-band polarization ratios were considered, including the oretical and empirical forms. To verify and improve the algorithm, wind spe eds were computed from several RADARSAT-1 ScanSAR images and compared to co located measurements from the SCAT aboard the European remote sensing satel lite ERS-2 and to the results of the Danish high resolution limited area mo del (HIRLAM), Using the colocated measurements, the polarization ratio was estimated and applied to improve the wind retrieval algorithm. In addition, the main error sources in SAR wind field extraction are discussed with res pect to the RADARSAT-1 ScanSAR data. Sensitivity studies were performed und er different atmospheric situations using the modified C-band model to comp ute the errors due to wind direction and inaccuracies in NRCS.