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.