MATEC Web of Conferences (Jan 2022)

Combination of XGBoost and PPLK method for improving the precipitation nowcasting

  • Mai Xiongfa,
  • Zhong Haiyan,
  • Li Ling

DOI
https://doi.org/10.1051/matecconf/202235503039
Journal volume & issue
Vol. 355
p. 03039

Abstract

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The Precipitation nowcasting can provide high-resolution forecasts of rainfall and hydrometeors in 2 hours and play an important role in risk management for flash flood and debris flow events, but it is a very challenge work. This study proposed a new method which combine of XGBoost method and the PPLK model for precipitation nowcasting (XGB-PPLK). The proposed method was assessed in four different types of storms, and the experimental results show that the XGB-PPLK can improve the probability of detection (POD), as while as reducing the normalized mean square error (NMSE), and maintain the basically equivalent false-alarm ratio (FAR).

Keywords