Analysis of the Effects of Rain on Surface Wind Retrieval from X-band Marine Radar Images

被引:0
作者
Liu, Ying [1 ]
Huang, Weimin [1 ]
Gill, Eric W. [1 ]
机构
[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada
来源
2014 OCEANS - ST. JOHN'S | 2014年
关键词
Wind retrieval; effects of rain; X-band; nautical radar; BACKSCATTER;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In this paper, the effects of rain on sea surface wind retrieval from X-band shipborne marine radar images are investigated. Two wind algorithms are applied to the shipborne radar data collected from the Eastern Canadian Coast. It is observed that rain enhances the backscatter intensity of the HH-polarized X-band radar images of the sea surface and results in the radar-retrieved wind speed being overestimated. In the presence of rain, the standard deviation (STD) of wind speed and wind direction using modified intensity-level-selection (ILS) based method increases by about 1.6 m/s and 10.7 degrees, respectively, compared to the results obtained from rain-contamination-free data.
引用
收藏
页数:4
相关论文
共 50 条
[41]   Group Line Energy in Phase-Resolved Ocean Surface Wave Orbital Velocity Reconstructions from X-band Doppler Radar Measurements of the Sea Surface [J].
Kammerer, Andrew J. ;
Hackett, Erin E. .
REMOTE SENSING, 2019, 11 (01)
[42]   Remote Quantification of Nearshore Wave Energy Dissipation Rates from Coherent X-Band Radar Backscatter [J].
Stresser, Michael ;
Horstmann, Jochen .
2019 IEEE/OES TWELFTH CURRENT, WAVES AND TURBULENCE MEASUREMENT (CWTM), 2019,
[43]   The Intercomparison of X-Band SAR Images from COSMO-SkyMed and TerraSAR-X Satellites: Case Studies [J].
Pettinato, Simone ;
Santi, Emanuele ;
Paloscia, Simonetta ;
Pampaloni, Paolo ;
Fontanelli, Giacomo .
REMOTE SENSING, 2013, 5 (06) :2928-2942
[44]   A Ku-band low incidence model for wind speed retrieval from TRMM precipitation radar data [J].
Ren, Lin ;
Yang, Jingsong ;
Zheng, Gang ;
Wang, Juan .
MIPPR 2015: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2015, 9815
[45]   Model-based analysis of X-band scattering from oil-covered sea surface using SAR imagery [J].
Meng, Tingyu ;
Nunziata, Ferdinando ;
Yang, Xiaofeng ;
Migliaccio, Maurizio .
2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA), 2022, :373-377
[46]   Empirical Relationship Between the Doppler Centroid Derived From X-Band Spaceborne InSAR Data and Wind Vectors [J].
Elyouncha, Anis ;
Eriksson, Leif E. B. ;
Romeiser, Roland ;
Ulander, Lars M. H. .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
[47]   XMOD2-An improved geophysical model function to retrieve sea surface wind fields from Cosmo-SkyMed X-band data [J].
Nirchio, Francesco ;
Venafra, Sara .
EUROPEAN JOURNAL OF REMOTE SENSING, 2013, 46 :583-595
[48]   Study on the Quantitative Precipitation Estimation of X-Band Dual-Polarization Phased Array Radar from Specific Differential Phase [J].
Zhao, Guo ;
Huang, Hao ;
Yu, Ye ;
Zhao, Kun ;
Yang, Zhengwei ;
Chen, Gang ;
Zhang, Yu .
REMOTE SENSING, 2023, 15 (02)
[49]   Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model [J].
Wallbank J.R. ;
Dufton D. ;
Neely III R.R. ;
Bennett L. ;
Cole S.J. ;
Moore R.J. .
Journal of Hydrology, 2022, 613
[50]   SIMULATION ANALYSIS OF SEA SURFACE CURRENT EXTRACTION FROM MICROWAVE NAUTICAL RADAR IMAGES [J].
Huang, Weimin ;
Gill, Eric .
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, :2673-2676