Cite this paper:
Yuxin LIU, Mingsen LIN, Xingwei JIANG, Xiujun SUN, Xiangzhou SONG. A comparison of multiplatform wind products in the South China Sea during summer and autumn in 2019[J]. Journal of Oceanology and Limnology, 2021, 39(6): 2181-2194

A comparison of multiplatform wind products in the South China Sea during summer and autumn in 2019

Yuxin LIU1,2, Mingsen LIN2,3, Xingwei JIANG2,3, Xiujun SUN4, Xiangzhou SONG1,5
1 Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing 210098, China;
2 National Satellite Ocean Application Service, Beijing 100081, China;
3 Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China;
4 Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China;
5 College of Oceanography, Hohai University, Nanjing 210098, China
Sea surface wind (SSW) observations from a newly developed “Black Pearl” wave glider, the Chinese-French Oceanography Satellite (CFOSAT), the HY-2A microwave scatterometer, and a recently released high-resolution atmospheric reanalysis (ERA5) are evaluated with respect to in-situ buoy observations (115.46°E, 19.85°N) from the South China Sea. Buoy observations from June to November 2019 are used to evaluate the wind estimates from the different platforms. The comparisons show that the HY-2A and CFOSAT scatterometer wind speeds have mean root mean square errors (RMSEs) of approximately 1.6 and 1.6 m/s, respectively, and the corresponding mean wind direction RMSEs are approximately 19° and 17°, which indicates that these satellite retrievals meet the requirements of design engineering missions. The wind speed and wind direction RMSEs of ERA5 are approximately 1.9 m/s and 33°, respectively. The correlation coefficients between the HY-2A, CFOSAT, and ERA5 wind speeds and the buoy observations are 0.86, 0.85, and 0.84, respectively, and the corresponding coefficients of the wind direction are 0.98, 0.98, and 0.93, respectively, at a 95% confidence level. However, the wind sensor in the wave glider provides relatively poor-quality observations compared with the buoy measurements and has higher wind speed and wind direction RMSEs of 2.9 m/s and 50.1°, respectively. Taylor diagrams are utilized to illustrate comprehensive wind comparisons between the multiplatform observations and buoy observations. The results help identify the basic biases in SSWs among different products and enhance confidence in the future use of SSW data for studies of upper ocean dynamics and climate analysis. Suggestions are also offered to help improve the design of next-generation wave gliders.
Key words:    sea surface wind (SSW)|calibration|South China Sea (SCS)|wave glider|fifth European Centre for Medium-Range Weather Forecasts reanalysis (ERA5)|HY-2A|Chinese-French Oceanography Satellite (CFOSAT)   
Received: 2020-05-21   Revised: 2020-08-18
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