NJU-CPOL dual polarization radar data

Dual-polarization (dual-pol) radar can measure additional parameters that provide more microphysical information of precipitation systems than those provided by conventional Doppler radar. The dual-pol parameters have been successfully utilized to investigate precipitation microphysics and improve radar quantitative precipitation estimation (QPE). The recent progress in dual-pol radar research and applications in China is summarized in four aspects. Firstly, the characteristics of several representative dual-pol radars are reviewed. Various approaches have been developed for radar data quality control, including calibration, attenuation correction, calculation of specific differential phase shift, and identification and removal of non-meteorological echoes. Using dual-pol radar measurements, the microphysical characteristics derived from raindrop size distribution retrieval, hydrometeor classification, and QPE is better understood in China. The limited number of studies in China that have sought to use dual-pol radar data to validate the microphysical parameterization and initialization of numerical models and assimilate dual-pol data into numerical models are summarized. The challenges of applying dual-pol data in numerical models and emerging technologies that may make significant impacts on the field of radar meteorology are discussed

双偏振（dual-pol）雷达相较于传统多普勒雷达，可测量更多参数，从而获取降水系统更为丰富的微物理信息。双偏振参数已被成功应用于降水微物理研究，并可提升雷达定量降水估计（QPE）精度。本文从四个方面综述了中国双偏振雷达研究与应用的最新进展：其一，对多款代表性双偏振雷达的技术特性进行了梳理；其二，现已开发出多种雷达数据质量控制方法，涵盖定标、衰减校正、差分相移率计算以及非气象回波的识别与剔除；其三，依托双偏振雷达观测数据，中国学界已通过雨滴谱反演、水凝物分类及QPE分析，更深入地认知了降水微物理特征；其四，本文综述了国内为数不多的相关研究——这些研究尝试利用双偏振雷达数据验证数值模式的微物理参数化方案与初始场，并将双偏振雷达数据同化至数值模式中。最后，本文探讨了双偏振数据在数值模式应用中面临的挑战，以及有望对雷达气象学领域产生重大影响的新兴技术。

搜集汇总

背景与挑战

背景概述

NJU-CPOL双极化雷达数据集提供了降水系统的微物理信息，支持雷达定量降水估计(QPE)研究。该数据集在中国应用于数据质量控制、微物理特性分析和数值模型验证等多个领域。