张庆红
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张庆红
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论文成果
Smartphone pressure data: quality control and impact on atmospheric analysis
发布时间：2021-07-09点击次数：
影响因子：
4.176
DOI码：
10.5194/amt-14-785-2021
发表刊物：
Atmospheric Measurement Techniques
摘要：
Smartphones are increasingly being equipped with atmospheric measurement sensors providing huge auxiliary resources for global observations. Although China has the highest number of cell phone users, there is little research on whether these measurements provide useful information for atmospheric research. Here, for the first time, we present the global spatial and temporal variation in smartphone pressure measurements collected in 2016 from the Moji Weather app. The data have an irregular spatiotemporal distribution with a high density in urban areas, a maximum in summer and two daily peaks corresponding to rush hours. With the dense dataset, we have developed a new bias-correction method based on a machine-learning approach without requiring users' personal information, which is shown to reduce the bias of pressure observation substantially. The potential application of the high-density smartphone data in cities is illustrated by a case study of a hailstorm that occurred in Beijing in which high-resolution gridded pressure analysis is produced. It is shown that the dense smartphone pressure analysis during the storm can provide detailed information about fine-scale convective structure and decrease errors from an analysis based on surface meteorological-station measurements. This study demonstrates the potential value of smartphone data and suggests some future research needs for their use in atmospheric science.
论文类型：
应用研究
学科门类：
理学
一级学科：
大气科学
卷号：
14
页面范围：
785-801
是否译文：
否
发表时间：
2021-02-25
收录刊物：
SCI
附件：