Performance Validation of Sea Surface Wind Speed Retrieval Algorithms and Products From the Chinese Tianmu-1 Constellation GNSS-R: First Results on Comparison With Other Wind Speed Products

The Tianmu-1 constellation is mainly based on BeiDou/GNSS radio occultation (GNSS-RO) and BeiDou/GNSS reflectometry (GNSS-R) remote sensing technology, which can simultaneously achieve integrated stereo detection of GNSS-RO and GNSS-R. It is the first commercial GNSS remote sensing detection constellation in the world to achieve integrated business detection of “land surface, ocean, three-dimensional atmosphere, and ionized environment”. Furthermore, it is the first GNSS remote sensing detection constellation in China that is compatible with receiving the five major GNSS satellite navigation systems (i.e., Global Positioning System, BeiDou, Galileo, GLONASS and Quasi-Zenith Satellite System). This study used Tianmu-1 GPS-R/BDS-R/GAL-R/GLO-R global wind speed data from July 2023 to December 2023, and used five datasets as evaluation data, including the ERA5 reanalysis, CYGNSS L2, SMOS, CCMP and NDBC buoy wind speed products, to present the results of the mission's first evaluation of sea surface wind speed estimates. The results show that the Tianmu-1 retrieval wind speed has good consistency with the CYGNSS verification wind speed. When the wind speed range is 0-35 m/s, its minimum RMSE can reach 1.74 m/s. The RMSE of the Tianmu-1 retrieval wind speed and the other four verification wind speeds (ERA5, CCMP, SMOS_SCA, SMOS_SCD) are 2.25 m/s, 2.33 m/s, 2.74 m/s, and 3.17 m/s, respectively. For the wind speed products of the four systems in the Tianmu-1 constellation, GAL showed the best accuracy results. In addition, a comparative verification was conducted with buoy wind speeds, the BDS system demonstrated the best accuracy results, with an RMSE of 1.97m/s.

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Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3527026
Citations
20
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
15.98

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article

Performance Validation of Sea Surface Wind Speed Retrieval Algorithms and Products From the Chinese Tianmu-1 Constellation GNSS-R: First Results on Comparison With Other Wind Speed Products

C. Ji, Qihan Wang, Jinwei Bu, Yueying Zhao et al.
20 citations
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soil Moisture and Remote Sensing
15.98
article

Performance Validation of Sea Surface Wind Speed Retrieval Algorithms and Products From the Chinese Tianmu-1 Constellation GNSS-R: First Results on Comparison With Other Wind Speed Products

C. Ji, Qihan Wang, Jinwei Bu, Yueying Zhao, Qiulan Wang, Xiaoqing Zuo, Ziyi Wang, Xin He, Hui Yang, Xinyu Liu
article en
20 citations

Abstract

The Tianmu-1 constellation is mainly based on BeiDou/GNSS radio occultation (GNSS-RO) and BeiDou/GNSS reflectometry (GNSS-R) remote sensing technology, which can simultaneously achieve integrated stereo detection of GNSS-RO and GNSS-R. It is the first commercial GNSS remote sensing detection constellation in the world to achieve integrated business detection of “land surface, ocean, three-dimensional atmosphere, and ionized environment”. Furthermore, it is the first GNSS remote sensing detection constellation in China that is compatible with receiving the five major GNSS satellite navigation systems (i.e., Global Positioning System, BeiDou, Galileo, GLONASS and Quasi-Zenith Satellite System). This study used Tianmu-1 GPS-R/BDS-R/GAL-R/GLO-R global wind speed data from July 2023 to December 2023, and used five datasets as evaluation data, including the ERA5 reanalysis, CYGNSS L2, SMOS, CCMP and NDBC buoy wind speed products, to present the results of the mission's first evaluation of sea surface wind speed estimates. The results show that the Tianmu-1 retrieval wind speed has good consistency with the CYGNSS verification wind speed. When the wind speed range is 0-35 m/s, its minimum RMSE can reach 1.74 m/s. The RMSE of the Tianmu-1 retrieval wind speed and the other four verification wind speeds (ERA5, CCMP, SMOS_SCA, SMOS_SCD) are 2.25 m/s, 2.33 m/s, 2.74 m/s, and 3.17 m/s, respectively. For the wind speed products of the four systems in the Tianmu-1 constellation, GAL showed the best accuracy results. In addition, a comparative verification was conducted with buoy wind speeds, the BDS system demonstrated the best accuracy results, with an RMSE of 1.97m/s.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Kunming University of Science and Technology (CN)
National Natural Science Foundation of China, Kunming University of Science and Technology
Life below water
Openalex Percentile: Top 1%
Soil Moisture and Remote Sensing
15.98
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