EGU25-10563, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-10563
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 29 Apr, 10:45–12:30 (CEST), Display time Tuesday, 29 Apr, 08:30–12:30
 
Hall A, A.50
Development of an AI-Based Precipitation Type Classification Algorithm Using Dual-Polarization Variables from Weather Radar
Narae Kang, Seokhwan Hwang, Jungsoo Yoon, and Seokhyeon Kim
Narae Kang et al.
  • KOREA INSTITUTE of CIVIL ENGINEERING and BUILDING TECHNOLOGY, Department of Hydro Science and Engineering Research, Goyang-si, Korea, Republic of (naraekang@kict.re.kr)

The classification of precipitation types using weather radar plays a crucial role in improving the accuracy of weather forecasts and preparing for natural disasters. However, for accurate precipitation prediction using weather radar, additional data preprocessing steps, such as quality control and removal of non-meteorological echoes, are essential.

This study aimed to develop an algorithm for classifying atmospheric hydrometeors using dual-polarization variables from weather radar and artificial intelligence (AI) technology. Various AI models were compared and evaluated to select the model with the best performance and examine its applicability. This is expected to contribute to improving early warning systems for hazardous weather phenomena such as heavy rain or snowstorms.

 

Acknowledgments

This research was supported by a grant(2022-MOIS61-003(RS-2022-ND634022)) of Development Risk Prediction Technology of Storm and Flood for Climate Change based on Artificial Intelligence funded by Ministry of Interior and Safety(MOIS, Korea).

 

How to cite: Kang, N., Hwang, S., Yoon, J., and Kim, S.: Development of an AI-Based Precipitation Type Classification Algorithm Using Dual-Polarization Variables from Weather Radar, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10563, https://doi.org/10.5194/egusphere-egu25-10563, 2025.