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
任涛 1郑佳锋 2杨吉 3曾正茂 4陈绍婕1
作者信息
- 1. 成都信息工程大学大气科学学院,成都 610225
- 2. 成都信息工程大学大气科学学院,成都 610225;中国气象局交通气象重点开放实验室,南京 210019
- 3. 中国气象局交通气象重点开放实验室,南京 210019;南京气象科技创新研究院,南京 210041
- 4. 福建省气象信息中心,福州 350001;厦门市气象局海峡气象开放实验室,福建厦门 362012
- 折叠
摘要
本文利用第三次青藏高原大气科学试验的Ka波段云雷达资料,结合微波辐射计和探空资料,提出了以模糊逻辑算法为框架的相态识别方法,并利用那曲两个典型对流云个例对方法效果进行了分析.通过与前人方法的对比和对不同相态粒子回波强度谱的统计,进一步验证了本文方法的可靠性.结果表明:利用雷达功率谱资料反演下落末速度并代替径向速度作为相态识别的参量之一,可提升对流云内粒子相态分类结果的合理性.零度层亮带和抬升凝结高度参量的使用,能够进一步优化相态识别的初步结果.固态云粒子的下落末速度远低于相同反射率因子的降水粒子,多模态/多谱峰的谱形态特征能够帮助识别混合相态粒子.
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引用本文复制引用
基金项目
国家重点研发计划(2018YFC1507005)
江苏省气象科学研究所北极阁基金(BJG201901)
福建省自然科学基金(2023J011337)
成都信息工程大学人才引进项目(KYTZ201728)
出版年
2024
国家科技期刊平台
NSTL
万方数据