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3 January 2025 Analysis of the measurement accuracy of the SWOT water vapor radiometer based on Jason-3 and ERA5 models
Wei Wang, Shenglong E., Zhongao Wang, Zhangquan Rao, Lei Wang, Hao Wang, Jianming Liu
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Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 1344225 (2025) https://doi.org/10.1117/12.3054340
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China
Abstract
This paper aims to evaluate the observational accuracy of the SWOT satellite’s water vapor radiometer and analyze the impact of various factors on its precision. The study compares wet delay data from the Jason-3 water vapor radiometer with calculated wet delays from the ERA5 model and examines the effects of cross-point distance, offshore distance, water depth, and time difference at crossover points on discrepancies in wet delay measurements. The results indicate that compared to Jason-3 data, the mean discrepancy of the SWOT water vapor radiometer is 0.0018 m, with a standard deviation of 0.02 m, showing no significant systematic error. Discrepancies decrease with increasing cycles, demonstrating good observational consistency and high stability. Compared to ERA5 data, discrepancies are larger in both high- and low-latitude areas, with a mean of less than 2 mm and a standard deviation of less than 1.5 cm, and without significant systematic bias. The study also finds that the accuracy of the wet delay discrepancies is inversely proportional to the distance and time difference at the crossover points and directly proportional to the offshore distance and water depth, indicating continuous optimization of the hardware and software performance of the water vapor radiometer during the SWOT mission.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Wei Wang, Shenglong E., Zhongao Wang, Zhangquan Rao, Lei Wang, Hao Wang, and Jianming Liu "Analysis of the measurement accuracy of the SWOT water vapor radiometer based on Jason-3 and ERA5 models", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 1344225 (3 January 2025); https://doi.org/10.1117/12.3054340
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KEYWORDS
Radiometry
Microwave radiation
Satellites
Data modeling
Analytical research
Climatology
Climate change
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