TY - GEN
T1 - Wind retrieval over the ocean using advanced synthetic aperture radar
AU - Wang, Lihua
AU - Zhou, Yunxuan
AU - Liu, Yue
AU - Zhang, Min
PY - 2011
Y1 - 2011
N2 - Sea surface wind is a crucial parameter for the studies of marine environment, which can help us to get a better understanding of processes in coastal areas and the lower atmospheric boundary layer. Synthetic aperture radar (SAR) with the unique advantages of high spatial resolution, typically below 100 m, can provide detailed wind vector information of marine and coastal areas. The wind fields retrieval include wind speeds and wind directions. The most widely used CMOD4 are suitable for ocean SAR data to extract wind speeds information. In addition, the CMOD4 algorithms are originally developed for the C-band, VV-Polarized data and thus need to be extended for HH polarization. The wind directions are obtained from wind-induced streaks that are visible in SAR images. And the 180 ambiguity is removed using the additional data from ECMWF. Compared with the data from ECMWF, the error in the wind direction and average wind speed are very small. The results show that image radiometric calibration and image filtering, smoothing, together with CMOD4 algorithms, can offer high quality specification on wind fields.
AB - Sea surface wind is a crucial parameter for the studies of marine environment, which can help us to get a better understanding of processes in coastal areas and the lower atmospheric boundary layer. Synthetic aperture radar (SAR) with the unique advantages of high spatial resolution, typically below 100 m, can provide detailed wind vector information of marine and coastal areas. The wind fields retrieval include wind speeds and wind directions. The most widely used CMOD4 are suitable for ocean SAR data to extract wind speeds information. In addition, the CMOD4 algorithms are originally developed for the C-band, VV-Polarized data and thus need to be extended for HH polarization. The wind directions are obtained from wind-induced streaks that are visible in SAR images. And the 180 ambiguity is removed using the additional data from ECMWF. Compared with the data from ECMWF, the error in the wind direction and average wind speed are very small. The results show that image radiometric calibration and image filtering, smoothing, together with CMOD4 algorithms, can offer high quality specification on wind fields.
KW - CMOD4
KW - polarization ratio
KW - sea surface
KW - synthetic aperture radar (SAR)
KW - wind directi
KW - wind speed
UR - https://www.scopus.com/pages/publications/80052380405
U2 - 10.1109/GeoInformatics.2011.5980730
DO - 10.1109/GeoInformatics.2011.5980730
M3 - 会议稿件
AN - SCOPUS:80052380405
SN - 9781612848488
T3 - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
BT - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
T2 - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Y2 - 24 June 2011 through 26 June 2011
ER -