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Using SVM to Provide Precipitation Nowcasting Based on Radar Data

  • Xiongfa Mai
  • Haiyan Zhong
  • Ling LiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

In recent years, SVM (Support Vector Machine) has been widely used in the field of weather forecasting, especially in the medium and long-term weather forecasting, but it is seldom used in the precipitation nowcasting. Without considering other meteorological factors, this paper uses SVM method in precipitation nowcasting based on the radar images. The statistical results of four difference thunderstorm events shown that the method based on SVM has good performance in the precipitation nowcastings in 0-2 h lead-time forecasting.

Keywords

Precipitation nowcasting Radar data SVM 

Notes

Acknowledgement

This research was financially supported by the Natural Science Foundation of Guangxi (NO. 2018JJA150144,2018GXNSFAA294079) and the National Science Foundation of China (NO. 61562008, 41401524, 4166010274).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Guangxi Higher School Key Laboratory of Data ScienceNanning Normal UniversityNanningChina
  2. 2.Guangxi High School Key Laboratory of Complex System and Computational IntelligenceGuangxi University for NationalitiesNanningChina
  3. 3.Key Laboratory of Environment Change and Resources Use in Beibu Gulf of Ministry of EducationNanning Normal UniversityNanningChina

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