机载降水云雷达的数据质量控制  

Data Quality Control of Airborne Precipitation Cloud Radar

作　　者：左懂飞 杨玲[1] 丁德平 赵德龙 ZUO Dongfei;YANG Ling;DING Deping;ZHAO Delong(College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225,China;Beijing Weather Modification Center,Beijing 100089,China)

机构地区：[1]成都信息工程大学电子工程学院,四川成都610225 [2]北京市人工影响天气中心,北京100089

出　　处：《成都信息工程大学学报》2022年第5期544-550,共7页Journal of Chengdu University of Information Technology

基　　金：国家自然科学基金资助项目(42075084)

摘　　要：利用机载降水云雷达(Ka-band precipitation cloud radar,KPR)进行穿云观测,对KPR的数据质量进行以下研究:(1)由于KPR探测的原始数据存在很多背景噪声,对KPR的产品图采用高斯滤波进行去噪。(2)KPR的探测视角是以飞机为基准,为更好判断云顶、云底等信息,对KPR产品进行了飞机轨迹订正,并采用二次样条插值消除了飞机轨迹上的噪声和增益。(3)受飞机运动的影响,KPR测得的多普勒速度和频谱宽度与实际存在较大的误差,通过相关算法完成了多普勒速度和谱宽的订正。通过数据质量控制,KPR的产品质量得到明显改善。The airborne Precipitation Cloud Radar(KPR)is used for Cloud penetrating observation.The data quality of KPR is studied as follows:(1)the product image of KPR is denoised by gaussian filter because there is a lot of background noise in the original data detected by KPR.(2)The detection angle of KPR is based on the aircraft.In order to better judge cloud top and cloud bottom information,the trajectory of KPR products is revised,and the noise and gain on the trajectory of KPR products are eliminated by the quadratic spline interpolation.(3)Due to the influence of aircraft movement,the doppler velocity and spectrum width measured by KPR have a large error with the actual situation,and the doppler velocity and spectrum width are corrected by the correlation algorithm.Through data quality control,KPR’s product quality has been significantly improved.

关 键 词：机载降水云雷达 高斯滤波 轨迹订正 二次样条插值 多普勒速度 谱宽 

分 类 号：P415.2[天文地球—大气科学及气象学]