摘要: |
【目的】为评估双偏振雷达粒子相态识别结果,【方法】本文采用基于模糊逻辑的粒子相态识别算法,将其得出的识别结果与雷达PUP粒子识别产品结果进行对比,结合6个地面自动站降水现象仪结果,提出一种采用TS评分验证两种识别结果可靠性的方法。并分别挑选一个降水、降雪、冰雹个例进行分析验证。【结果】两种方法均能较好的反应出降水过程,5月份降水有5个台站准确率达到70%以上,5个台站PUP粒子识别产品准确率要高于模糊逻辑算法粒子识别产品1%左右。对于冬季降水,PUP粒子识别产品易将降水过程识别为降雪过程。两种产品均能很好的识别降雪过程。对于冰雹过程,PUP粒子识别产品能较好的识别出来,而模糊逻辑算法易将冰雹识别为霰粒子。【结论】本文能有效评估双偏振雷达粒子相态识别结果,并应用在降水、降雪、降雹过程中。 |
关键词: 双偏振雷达;模糊逻辑粒子相态识别;PUP;TS评分。 |
DOI: |
投稿时间:2023-11-01修订日期:2024-05-17 |
基金项目:湖北省气象局科研项目(2023Q09) |
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Particle Phase Identification and Evaluation of Dual Polarization Radar |
Lai Chen,Cheng Changyu,Gao lan,Li Siwei |
(HuBei Meteorological Information and Technology Support Center;Hengyang Meteorological of Hunan Province) |
Abstract: |
[Purpose] To evaluate the results of dual polarization radar partical identification, [Method] this article uses a particle phase identifiction algorithm based on fuzzy logic to compare the identification results with the results of radar PUP particle identification products. Combining the results of six ground precipitation phenomenon instrument, a method using TS score to verify the reliability of the two identification results is proposed. And select one case of precipitation, snow and hail for analysis and verification. [Result] The results show that both methods can better reflect the precipitation process. In May, the accuracy of 5 stations reached over 70%, and the accuracy of 5 stations PUP particle recognition products was about 1% higher than that of fuzzy logic algorithm particle identification products. For winter precipitation, PUP particle identification products can easily identify the precipitation process as a snow process. Both products can effectively identify the snow process. For the hail process, the PUP particle identification product can better recognize it, while the fuzzy logic algorithm is easy to recognize hail as graupel particles. [Conclusion] This article can effectively evaluate the result of dual polarization radar particle phase identification and apple to precipitation, snow and hail process. |
Key words: dual polarization radar; Fuzzy logic particle phase Identification;PUP; TS Score. |