Retrieving Ocean Surface Wind Speeds in Real Time on Spaceborne GNSS-R Receivers: Algorithm and Validation

被引:0
|
作者
Qiu, Tongsheng [1 ]
Zheng, Qi [2 ]
Wang, Xianyi [1 ]
Huang, Feixiong [1 ]
Xia, Junming [1 ]
Li, Fu [1 ]
Wang, Zhuoyan [1 ]
Sun, Yueqiang [1 ]
Du, Qifei [1 ]
Bai, Weihua [1 ]
Cai, Yuerong [1 ]
Wang, Dongwei [1 ]
Tian, Yusen [1 ]
Cheng, Shuangshuang [1 ]
机构
[1] Chinese Academy of Sciences, Beijing Key Laboratory of Space Environment Exploration, National Space Science Center, Beijing,100190, China
[2] Shanghai ASES Spaceflight Technology, Company Ltd., Shanghai,201108, China
关键词
Global Navigation Satellite Systems - Ocean surface wind speed - Ocean surface winds - Real - Time system - Real- time - Real-time retrieval - Receiver - Reflectometry - Satellite broadcasting - Sea surfaces - Space-borne - Spaceborne global navigation satellite system reflectometry receiver - Surface wind speed - Validation - Wind speed;
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摘要
Based on delay-Doppler maps (DDMs) in raw counts generated by spaceborne global navigation satellite system reflectometry (GNSS-R) receivers, retrieving ocean surface wind speeds is feasible, so several spaceborne GNSS-R missions have been carried out. However, it is currently troubled by global data latency of several hours or even more due to the bottleneck in the satellite downlink. Consequently, this article, for the first time, presents an algorithm for spaceborne GNSS-R receivers to conduct the DDM calibration in orbit and then to retrieve ocean surface wind speeds in real time, which contributes to not only lightening the burden on downloading a wealth of scientific data but also broadcasting real-time ocean surface wind speeds to users. Since there is a power correlation between direct and reflected signals from the same GNSS satellite with respect to the GNSS-R receiver, this algorithm calibrates direct signal power first, and then it estimates the real-time GNSS transmitter effective isotropic radiated power at the reflected signal according to the normalized antenna pattern of the corresponding GNSS satellite. Afterward, DDMs in raw counts are calibrated. Finally, ocean surface wind speeds are computed using pretrained geophysical model functions. Exploiting the scientific data from the GNOS-II onboard China's FY-3E satellite, this algorithm is validated carefully, and final retrieved ocean surface wind speeds against collocated European Centre for Medium-Range Weather Forecasts wind speeds have an overall root-mean-square error of 1.68 m/s and 1.50 m/s for GPS-R and BDS-R, respectively. © 2008-2012 IEEE.
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页码:2201 / 2212
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