| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 03039 | |
| Number of page(s) | 5 | |
| Section | Computing Methods and Computer Application | |
| DOI | https://doi.org/10.1051/matecconf/202235503039 | |
| Published online | 12 January 2022 | |
Combination of XGBoost and PPLK method for improving the precipitation nowcasting
1 School of mathematics and statistics,Nanning Normal University, Nanning, China
2 Ruijin No.1 High School, Ruijin, Jiangxi Province, China
3 Key Laboratory of Environment Change and Resources Use in Beibu Gulf of Ministry of Education, Nanning Normal University, Nanning, China
* Corresponding author: liling81@nnnu.edu.cn
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).
Key words: XGBoost / PPLK / Precipitation Nowcasting
© The Authors, published by EDP Sciences, 2022
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