气象科学2024，Vol.44Issue(2)：382-390,9.DOI:10.12306/2022jms.0065
基于云雷达资料的那曲对流云粒子相态识别研究
Recognition of particles phase in convective clouds over Nagqu by using millimeter-wave radar measurements
摘要
Abstract
Based on Doppler spectra of a Ka-band cloud radar in the third Tibetan Plateau Experiment of Atmospheric Sciences Project,relevant microwave radiometer and radiosonde data,an algorithm for identifying particle phase by using fuzzy logic algorithm was proposed,and the effects of the algorithm were analyzed using two typical convective cases.Finally,the method presented in this paper is reliable by comparing with the previous methods and counting intensity spectra of diverse particles.The main findings are as follows:the rationality of phase classification results of particles in convective clouds can be improved by using the particle terminal velocity instead of radial velocity as one of parameters of the phase identification.The preliminary results of phase identification can be further optimized by using the parameters,such as bright band and lifting condensation level.The particle terminal velocity of solid particles is much lower than precipitation particles with the same reflectivity factor.The mixed phase with large particles can be recognized by the multiple modals and multiple peaks of power spectra.关键词
毫米波雷达/相态分类/功率谱/青藏高原地区/对流云Key words
millimeter-wave radar/phase classification/power spectra/the Tibetan Plateau/convective clouds分类
天文与地球科学引用本文复制引用
任涛,郑佳锋,杨吉,曾正茂,陈绍婕..基于云雷达资料的那曲对流云粒子相态识别研究[J].气象科学,2024,44(2):382-390,9.基金项目
国家重点研发计划资助项目(2018YFC1507005) （2018YFC1507005）
江苏省气象科学研究所北极阁基金资助项目(BJG201901) （BJG201901）
福建省自然科学基金资助项目(2023J011337) （2023J011337）
成都信息工程大学人才引进资助项目(KYTZ201728) （KYTZ201728）
