International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 261–264, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-261-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 261–264, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-261-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

THUNDERSTORM WEATHER ANALYSIS BASED ON XGBOOST ALGORITHM

L. L. Liu1, H. C. Liu1, and C. F. Zhu2 L. L. Liu et al.
  • 1College of Surveying and Mapping Geographic Information, Guilin University of Technology, Gulin, Guangxi, China
  • 2College of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China

Keywords: Thunderstorm weather, ZWD, O3, XGBoost algorithm, Manual adjustment method, Grid search method

Abstract. 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 O3 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 O3 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.