| 摘要: |
| 利用贵州威宁雪山X波段双偏振天气雷达一次冰雹过程观测资料，基于MATLAB软件对雷达观测数据进行数据质量控制基础上利用模糊逻辑算法对冰雹云中水成物粒子进行识别分类，主要结论如下：（1）采用综合小波去噪能够有效去除差分传播相位（ФDP）存才的脉动和毛刺，保证ФDP的连续性和平滑度，保留有效ФDP值，其用于雷达反射率因子衰减订正具有较好的效果。（2）冰雹形成与低密度霰（LDG）、高密度霰（HDG）以及过冷水（SCW）的增减演变较为对应，霰粒子是冰雹形成的关键粒子。（3）从霰粒子出现到识别出冰雹时间为26 min，约4个体扫时间，从识别出冰雹到地面观测到降雹32 min，约5个体扫时间。（4）冰雹识别结果与地面观测总体一致，所构建的识别参量阈值基本合理，研究所构建的粒子相态识别方法在贵州威宁具有普适性，可为冰雹早起识别、预警和人工防雹作业提供技术和理论支撑。 |
| 关键词: 冰雹；X波段双偏振雷达；模糊逻辑方法；粒子识别 |
| DOI： |
| 投稿时间：2022-07-11修订日期：2022-09-07 |
| 基金项目:贵州省气象局科研业务项目（黔气科登[2021]12-11号） |
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| Study on hydrate particle recognition in a hail process in Weining of Guizhou Province based on X-band dual polarization radar |
| zengyong |
| (The Weather Modification Office of Guizhou Province) |
| Abstract: |
| Based on the observation data from a hail process of X-band dual polarization weather radar in Weining snow mountain of Guizhou, the data quality of radar observation data was controlled based on MATLAB software, and the hydrate particles in hail cloud were identified and classified by fuzzy logic algorithm. The main conclusions are as follows: (1) The differential propagation phase can be effectively removed by using comprehensive wavelet denoising（ФDP) pulsation and burr of stored talent to ensure ФDP .The continuity and smoothness of ФDP are valid ФDP value, which has a good effect on radar reflectivity factor attenuation correction. (2) The formation of hail corresponds to the increase and decrease of low-density graupel (LDG), high-density graupel (HDG) and supercooled water (SCW). Graupel particles were the key particles of hail formation. (3) The time from the appearance of graupel particles to the recognition of hail was 26 minutes, about four individual scanning time, 32 minutes from the recognition of hail to ground observation, and five individual scanning time. (4) The hail recognition results were generally consistent with the ground observation, and the recognition parameter threshold constructed is basically reasonable. The particle phase recognition method constructed by the research is universal in Weining, Guizhou, and can provide technical and theoretical support for hail early recognition, early warning and artificial hail suppression. |
| Key words: Hail; X-band dual polarization radar; fuzzy logic method; particle recognition |
