Articles | Volume 13, issue 1
https://doi.org/10.5194/amt-13-355-2020
https://doi.org/10.5194/amt-13-355-2020
Research article
 | 
31 Jan 2020
Research article |  | 31 Jan 2020

A GPS water vapour tomography method based on a genetic algorithm

Fei Yang, Jiming Guo, Junbo Shi, Xiaolin Meng, Yinzhi Zhao, Lv Zhou, and Di Zhang

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Latest update: 14 Jul 2024
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Short summary
The development of GPS station networks that provide rich data sources containing atmospheric information will enable more GPS applications in the field of meteorology. This study describes a genetic algorithm for the water vapour tomography; overcomes the ill-conditioned problem; and eliminates the reliance on excessive constraints, priori information, and external data. It is proven in the paper that accurate 3-D water vapour distribution can be provided by this study for atmospheric research.