Combination of XGBoost and PPLK method for improving the precipitation nowcasting
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 P...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | MATEC Web of Conferences |
| Subjects: | |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03039.pdf |
| _version_ | 1823960581729681408 |
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| author | Mai Xiongfa Zhong Haiyan Li Ling |
| author_facet | Mai Xiongfa Zhong Haiyan Li Ling |
| author_sort | Mai Xiongfa |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-17T16:51:30Z |
| format | Article |
| id | doaj.art-3ffde9927a2040a6ad5f110ccac19fa5 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-17T16:51:30Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-3ffde9927a2040a6ad5f110ccac19fa52022-12-21T21:40:35ZengEDP SciencesMATEC Web of Conferences2261-236X2022-01-013550303910.1051/matecconf/202235503039matecconf_icpcm2022_03039Combination of XGBoost and PPLK method for improving the precipitation nowcastingMai Xiongfa0Zhong Haiyan1Li Ling2School of mathematics and statistics,Nanning Normal UniversityRuijin No.1 High SchoolKey Laboratory of Environment Change and Resources Use in Beibu Gulf of Ministry of Education, Nanning Normal UniversityThe 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).https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03039.pdfxgboostpplkprecipitation nowcasting |
| spellingShingle | Mai Xiongfa Zhong Haiyan Li Ling Combination of XGBoost and PPLK method for improving the precipitation nowcasting MATEC Web of Conferences xgboost pplk precipitation nowcasting |
| title | Combination of XGBoost and PPLK method for improving the precipitation nowcasting |
| title_full | Combination of XGBoost and PPLK method for improving the precipitation nowcasting |
| title_fullStr | Combination of XGBoost and PPLK method for improving the precipitation nowcasting |
| title_full_unstemmed | Combination of XGBoost and PPLK method for improving the precipitation nowcasting |
| title_short | Combination of XGBoost and PPLK method for improving the precipitation nowcasting |
| title_sort | combination of xgboost and pplk method for improving the precipitation nowcasting |
| topic | xgboost pplk precipitation nowcasting |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03039.pdf |
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