Combined Co- and Cross-Polarized SAR Measurements Under Extreme Wind Conditions

被引:146
作者
Mouche, Alexis A. [1 ,2 ]
Chapron, Bertrand [1 ]
Zhang, Biao [3 ]
Husson, Romain [4 ]
机构
[1] Lab Oceanog Phys Spatiale, F-29280 Plouzane, France
[2] Nanjing Univ Informat Sci & Technol, Nanjing 210044, Jiangsu, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China
[4] Collecte Localisat Satellites, F-29280 Plouzane, France
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2017年 / 55卷 / 12期
基金
美国国家科学基金会;
关键词
Cross-polarization and co-polarization radar cross section; high-resolution extreme ocean surface winds; hurricanes; microwave; scattering; space-borne radar; typhoon; SYNTHETIC-APERTURE RADAR; SURFACE WIND; BAND; RETRIEVAL; ALTIMETER;
D O I
10.1109/TGRS.2017.2732508
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
During summer 2016, the European Space Agency (ESA) set up the Satellite Hurricane Observations Campaign, a campaign dedicated to hurricane observations with Sentinel-1 synthetic aperture radar (SAR) in both vertical-vertical (VV) and vertical-horizontal (VH) polarizations acquired in wide swath modes. Among the 70 Sentinel-1 passes scheduled by the ESA mission planning team, more than 20 observations over hurricane eyes were acquired and tropical cyclones were captured at different development stages. This enables us to detail the sensitivity difference of VH and VV normalized radar cross section (NRCS) to the response of intense ocean surface winds. As found, the sensitivity of the VH-NRCS computed at 3-km resolution is reported to be more than 3.5 times larger than in VV. Taking opportunity of SAR high resolution, we also show that the decrease in resolution (up to 25 km) does not dramatically change the sensitivity difference between VV and VH polarizations. For wind speeds larger than 25 m/s, a new geophysical model function (MS1A) to interpret cross-polarized signal is proposed. Both channels are then combined to get ocean surface wind vectors. SAR winds are further compared at 40-km resolution against L-band soil moisture active and passive mission (SMAP) radiometer winds with co-locations less than 30 min. Overall excellent consistency is found between SMAP and this new SAR winds. This paper opens perspectives for MetOp-SG SCA, the next-generation C-band scatterometer with co-and cross-polarization capability.
引用
收藏
页码:6746 / 6755
页数:10
相关论文
共 28 条
[1]   Canadian Space Agency's Hurricane Watch program: Archive contents, Data Access and improved planning strategies [J].
Banal, Sonya ;
Iris, Steve ;
Saint-Jean, Robert .
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, :3494-3497
[2]   Improvements to the Operational Tropical Cyclone Wind Speed Probability Model [J].
DeMaria, Mark ;
Knaff, John A. ;
Brennan, Michael J. ;
Brown, Daniel ;
Knabb, Richard D. ;
DeMaria, Robert T. ;
Schumacher, Andrea ;
Lauer, Christopher A. ;
Roberts, David P. ;
Sampson, Charles R. ;
Santos, Pablo ;
Sharp, David ;
Winters, Katherine A. .
WEATHER AND FORECASTING, 2013, 28 (03) :586-602
[3]   Comparison of C-Band Scatterometer CMOD5.N Equivalent Neutral Winds with ECMWF [J].
Hersbach, Hans .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2010, 27 (04) :721-736
[4]   Cross-polarization geophysical model function for C-band radar backscattering from the ocean surface and wind speed retrieval [J].
Hwang, Paul A. ;
Stoffelen, Ad ;
van Zadelhoff, Gerd-Jan ;
Perrie, William ;
Zhang, Biao ;
Li, Haiyan ;
Shen, Hui .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2015, 120 (02) :893-909
[5]   Depolarized radar return for breaking wave measurement and hurricane wind retrieval [J].
Hwang, Paul A. ;
Zhang, Biao ;
Perrie, William .
GEOPHYSICAL RESEARCH LETTERS, 2010, 37
[6]  
Katsaros KB, 2000, J HOPKINS APL TECH D, V21, P86
[7]   Using Routinely Available Information to Estimate Tropical Cyclone Wind Structure [J].
Knaff, John A. ;
Slocum, Christopher J. ;
Musgrave, Kate D. ;
Sampson, Charles R. ;
Strahl, Brian R. .
MONTHLY WEATHER REVIEW, 2016, 144 (04) :1233-1247
[8]   Directional analysis of SAR images aiming at wind direction [J].
Koch, W .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (04) :702-710
[9]   Quad-polarization SAR features of ocean currents [J].
Kudryavtsev, V. ;
Kozlov, I. ;
Chapron, B. ;
Johannessen, J. A. .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2014, 119 (09) :6046-6065
[10]  
Meissner T., B AM METEOR SOC