BF-1 GNSS-R Sea Surface Wind Speed Retrieval and Observing System Experiments

Feng Lu, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center

  • Yixuan Shou, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center

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  • Xinliang Niu, Chinese Academy of Space Technology

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  • HongHao Chen, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center

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  • Juan Xue, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center

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  • Zhaoguang Bai, DFH Satellite Company, Ltd

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  • Jun Yang, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center

As a pilot mission for the Chinese global navigation satellite system reflectometry (GNSS-R) constellation, the BuFeng-1 (BF-1) twin satellites A/B were launched on June 5th, 2019. BF-1 operate at altitude of 579 km with inclination of 45°. The orbital phase between the two satellites is 45°. An uniform global coverage between 45° S and 45° N latitudes can be finished in 4 days . Both deep-learning-based techniques  and neural networks techniques  were applied for BF-1 GNSS-R wind speed retrieval，The wind speed retrieval performances meet the predetermined mission requirements of 2 m/s or 10%.

In this study, the impact of BG-1 and CYGNSS ocean surface winds over four hurricane case is assessed by observing   system experiments (OSEs).