OBJECT-ORIENTED HYDROMETEOR CLASSIFICATION BASED ON POPLARIMETRIC RADAR OBSERVATIONS
-
摘要: 双偏振雷达的主要用途之一就是降水粒子识别，目前主流的方法为模糊逻辑分类(FL)，但是该方法仅使用单个距离库的信息，易受到噪声的影响。基于模糊逻辑方法的不足，利用聚类分析，提出了一种面向对象的降水粒子分类方法，即在模糊逻辑分类基础上考虑距离库与不同降水粒子的距离以及周围距离库类别信息。基于广州S波段双偏振雷达的观测数据进行降水粒子识别验证，结果表明使用的面向对象的降水粒子识别方法可有效地降低噪声对分类结果的影响，且符合降水粒子的微物理特征。Abstract: One of the main uses of dual-polarization radar is hydrometeor classification. At present, the mainstream hydrometeor classification algorithm is fuzzy logic classification (FL), but this method only uses information from a range bin, which is vulnerable to noise. Based on the limitation of the fuzzy logic method, this paper employs cluster analysis and proposes an object-oriented precipitation particle classification method, which considers the distance between the distance database and different hydrometeor and the surrounding range bin category information based on fuzzy logic classification. To verify the accuracy of hydrometeor classification, the observed data from the Guangzhou S-band dual-polarization radar is utilized in this paper. The results show that the object-oriented hydrometeor classification algorithm used in this paper can effectively reduce the impact of noise on the classification results, and the classification results are consistent with the microphysical characteristics of hydrometeors.
-
[1] LIM S, CHANDRASEKAR V, BRINGI V N. Hydrometeor classification system using dual-polarization radar measurements: model improvements and in situ verification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4): 792-801. [2] KRAUSE J M. A simple algorithm to discriminate between meteorological and nonmeteorological radar echoes[J]. J Atmos Oceanic Technol, 2016, 33(9): 1 875-1 885. [3] 曹俊武, 刘黎平, 葛润生. 模糊逻辑法在双线偏振雷达识别降水粒子相态中的研究[J]. 大气科学, 2005, 31(5): 827-836. [4] 曹俊武, 刘黎平. 双线偏振雷达判别降水粒子类型技术及其检验[J]. 高原气象, 2007, 26(1): 116-127. [5] 刘亚男, 肖辉, 姚振东, 等. X波段双极化雷达对云中水凝物粒子的相态识别[J]. 气候与环境研究, 2012, 17(6): 925-936. [6] CHEN H, CHANDRASEKAR V, BECHINI R. An improved dual-polarization radar rainfall Algorithm (DROPS2.0): Application in NASA IFloodS field campaign[J]. J Hydrometeorology, 2017, 18(4): 917-937. [7] BECHINI R, CHANDRASEKAR V. A Semisupervised Robust Hydrometeor Classification Method for Dual-Polarization Radar Applications[J]. J Atmos Oceanic Technol, 2015, 32(1): 22-47. [8] BAATZ M, SCHÄPE A. Object-oriented and multi-scale image analysis in semantic networks[C]. International Symposium: Operationalization of Remote Sensing, 1999. [9] PARK H S, RYZHKOV A V, ZRNIĆ D S, et al. The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and Application to an MCS[J]. Wea Forecasting, 2009, 24(3): 730-748. [10] ZHANG A, XIAO L, MIN C, et al. Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event[J]. Atmos Res, 2019, 216(2): 76-85. [11] 王超, 吴翀, 刘黎平. X波段双线偏振雷达数据质量分析及控制方法[J]. 高原气象, 2019, 38(3): 636-649. [12] SCARCHILLI G, GORGUCCI V, CHANDRASEKAR V, et al. Self-consistency of polarization diversity measurement of rainfall[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(1): 22-26. [13] LIM S, CHANDRASEKAR V, BRINGI V N. Hydrometeor classification system using dual-polarization radar measurements: model improvements and in situ verification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4): 792-801. [14] 刘亚男, 肖辉, 姚振东, 等. X波段双极化雷达对云中水凝物粒子的相态识别[J]. 气候与环境研究, 2012, 17(6): 925-936. [15] 吴翀, 刘黎平, 仰美霖, 等. X波段双偏振雷达相态识别与拼图的关键技术[J]. 应用气象学报, 2021, 32(2): 200-216. [16] 宋文婷, 李昀英, 黄浩, 等. 基于S波段双偏振雷达资料的降水粒子类型识别算法及应用[J]. 大气科学学报, 2021, 44(2): 209-218. [17] 曹俊武, 刘黎平. 双线偏振雷达判别降水粒子类型技术及其检验[J]. 高原气象, 2007, 26(1): 116-127. [18] 徐舒扬, 吴翀, 刘黎平. 双偏振雷达水凝物相态识别算法的参数改进[J]. 应用气象学报, 2020, 31(3): 350-360. [19] WU C, LIU L, WEI M, et al. Statistics-based optimization of the polarimetric radar hydrometeor classification Algorithm and its application for a squall line in south China[J]. Adv Atmos Sci, 2018, 35(3): 296-316. [20] GIANGRANDE S E, KRAUSE J M, RYZHKOV A V. Automatic designation of the melting layer with a polarimetric prototype of the WSR-88D radar[J]. J Appl Meteor Climatol, 2008, 47(5): 1 354-1 364. -
下载:
点击查看大图
图(8)
计量
- 文章访问数: 59
- HTML全文浏览量: 13
- PDF下载量: 10
- 被引次数: 0
粤公网安备 4401069904700003号