Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/amt-18-829-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-829-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Research article
 | 
14 Feb 2025
Research article |  | 14 Feb 2025

Bias correction and application of labeled smartphone pressure data for evaluating the best track of landfalling tropical cyclones

Ge Qiao, Yuyao Cao, Qinghong Zhang, Juanzhen Sun, Hui Yu, and Lina Bai

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Latest update: 15 Nov 2026
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Short summary
Smartphones equipped with multiple sensors have great potential to form high-resolution meteorological observation fields. In this study, we focused on smartphone pressure observations in tropical cyclone environments. We developed a machine-learning-based quality control program that greatly reduced errors and found that smartphone data led to significant improvements in analysis fields. Some traditional best tracks were found to consistently underestimate the minimum sea-level pressure.
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