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| Research on precipitation type identification and prediction algorithm based on dual polarization radar data |
| Yu Daihui1, Lun Xuyong1, Lan Shihuai1, Li Zhenkun2, Meng Yanlei1 |
1. Qiandongnan Miao and Dong Autonomous Prefecture Meteorological Bureau, Kaili 556099;
2. Cengong Meteorological Bureau, Cengong 557801 |
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Abstract Based on dual polarization radar data,a new precipitation type identification and prediction algorithm is proposed.This algorithm utilizes polarization parameters such as horizontal reflectance factor,differential reflectance,cross-correlation coefficient,and differential propagation phase shift obtained from dual polarization radar inversion,combined with fuzzy logic and support vector machine methods,to achieve precise identification of precipitation types.A precipitation type prediction model based on long short-term memory network has been constructed,which can predict the evolution of precipitation types 30 minutes in advance.The algorithm has been validated in actual precipitation cases,with a recognition accuracy of over 90% and a prediction accuracy of over 85%,demonstrating good application prospects.The research results have a positive impact on improving the quantitative precipitation estimation and forecasting capabilities.
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Received: 08 August 2024
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2025, Vol. 42 
