Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-785-2021
https://doi.org/10.5194/amt-14-785-2021
Research article
 | 
02 Feb 2021
Research article |  | 02 Feb 2021

Smartphone pressure data: quality control and impact on atmospheric analysis

Rumeng Li, Qinghong Zhang, Juanzhen Sun, Yun Chen, Lili Ding, and Tian Wang

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Cited articles

Bankmycell: How many phones are in the world?: available at: https://www.bankmycell.com/blog/how-many-phones-are-in-the-world, access: 19 August 2019. 
Barnes, S. L.: A technique for maximizing details in numerical weather map analysis, J. Appl. Meteorol., 396–409, https://doi.org/10.1175/1520-0450(1964)003<0396:ATFMDI>2.0.CO;2, 1964. 
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Short summary
In this paper, we describe a bias-correction method based on machine learning without the need to obtain users' personal information and demonstrate that the method can effectively reduce the bias in smartphone pressure observations. The characteristics of this dataset are discussed, and the potential application of the bias-corrected data is illustrated by the fine-scale analysis of a hailstorm that occurred on 10 June 2016 in Beijing, China.