Error quantification and cross calibration of sea surface wind speeds from multiple remote sensing satellites

Lü Sirui; Lin Wenming; Zou Juhong; Wang Zhixiong

doi:10.12284/hyxb2023066

Volume 45 Issue 5

May 2023

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Article Navigation > Haiyang Xuebao > 2023 > 45(5): 118-128

Lü Sirui，Lin Wenming，Zou Juhong, et al. Error quantification and cross calibration of sea surface wind speeds from multiple remote sensing satellites[J]. Haiyang Xuebao，2023, 45(5)：118–128 doi: 10.12284/hyxb2023066

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Error quantification and cross calibration of sea surface wind speeds from multiple remote sensing satellites

doi: 10.12284/hyxb2023066

Lü Sirui^1
,,
Lin Wenming^{1, 2
,
,},
Zou Juhong^{2, 3},
Wang Zhixiong^{1, 2}

1.
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
3.
National Satellite Ocean Application Service, Beijing 100081, China

Received Date: 2022-07-29
Rev Recd Date: 2022-12-07

Available Online: 2022-12-20

Publish Date: 2023-05-01

Abstract

Abstract

In the field of ocean remote sensing research, the construction of a high temporal resolution sea surface wind (SSW) dataset through the use of multi-source satellite data has become a popular topic. This article aims to quantitatively evaluate the error characteristics and calibration coefficients of SSW speed data obtained from different sensors using buoy data and ERA5 for the satellites scatterometer and radiometer in orbit simultaneously in 2019. The unit error of various satellite remote sensing SSW is comparatively analyzed, providing technical support for quantitative applications such as multi-source satellite SSW blending and assimilation. Furthermore, compared with equal neutral wind speeds, the wind speeds inferred by microwave scatterometer and radiometer are better suited to be interpreted by stress-equivalent winds, which enables the optimal application of satellite remote sensing data. The SSW speeds remotely sensed by existing scatterometers and radiometers are generally consistent with the buoy and ERA5 stress-equivalent wind, but exhibit some deviations at high wind speeds (wind speed greater than 20 m/s). An indicator factor for lateral comparison of wind speed errors is proposed to achieve relative error estimation of scatterometer and radiometer wind speeds, which provides an important reference for error setting in multi-source data assimilation applications. The results demonstrate that the inherent wind speed errors of the five scatterometers range from 0.40 to 0.73, and the inherent wind speed errors of the five microwave radiometers range from 0.86 to 1.23. In conclusion, it can be observed that the scatterometers generally exhibit better accuracy in SSW speed estimation than radiometers in the wind speed range of 0 m/s to 20 m/s.
- sea surface wind,
- scatterometer,
- radiometer,
- stress-equivalent wind,
- error estimation

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References(23)

References

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