ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-3-W10-261-2020 THUNDERSTORM WEATHER ANALYSIS BASED ON XGBOOST ALGORITHM Liu L. L. 1 Liu H. C. 1 Zhu C. F. 2 College of Surveying and Mapping Geographic Information, Guilin University of Technology, Gulin, Guangxi, China College of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China 07 02 2020 XLII-3/W10 261 264 Copyright: © 2020 L. L. Liu et al. 2020 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-3-W10/261/2020/isprs-archives-XLII-3-W10-261-2020.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-3-W10/261/2020/isprs-archives-XLII-3-W10-261-2020.pdf

Using the GPS data service platform of China seismological bureau to get the ZTD separated ZWD data pair and the content in the air, and by detecting the O<sub>3</sub> value in the air is an effective method to analyze and study the thunderstorm weather.This paper collected the four foundations of the beibu gulf region GPS station in 10 days in August 2019 data, through ZWD numerical and O<sub>3</sub> values after consolidation, the classification of the training and testing, in XGboost algorithm, manual adjustment method is compared with grid search method, and the results show that the model of manual adjustment method is superior to grid search model and the default model in accuracy and AUC value.