机载云降水粒子成像仪的数据处理软件研发及其在云微物理研究的应用

Development the data processing software for the airborne cloud and precipitation imaging probe and its application on cloud microphysics research

云粒子成像仪(Cloud Imaging Probe,CIP)和降水粒子成像仪(Precipitation Imaging Probe,PIP)在云微物理和人工影响天气的观测研究中具有重要的作用。受限于仪器的成像测量原理,CIP和PIP所测云微物理数据质量因伪粒子的影响而降低,因此,急需一款能够对仪器所测数据进行订正的软件以满足云微物理分析的数据质量要求。在对测量过程中影响仪器测量准确性因素分析的基础上,提出了一套可提高仪器测量数据准确性的方法。利用LabVIEW图像化编程语言,编写出了一款可处理CIP和PIP图像数据的软件,可满足对CIP和PIP所测数据的质量控制要求。利用所开发的软件对2010年4月20日一次降水性层状云的飞机探测资料进行处理,获取了整个降水性层云的垂直结构特征与粒子谱的变化特征,表明本软件有助于云降水微物理的研究。

The cloud imaging probe(CIP)and precipitation imaging probe(PIP)are two important measurement instruments in cloud microphysics and weather modification research.Limited by the instrument’s measuring principles,the quality of data from CIP and PIP is degraded by the influence of the artificial particles.Therefore,a data processing software to improve the data quality is urgently needed.In this study,based on the data structure knowledge and analysis of the factors affecting the accuracy of the airborne measurement,a method to improve the data quality is proposed.Utilizing the LabVIEW graphical programming language,we developed a software program to process the CIP and PIP’s data,which realizes the function of data quality control.The software can read the imaging data from CIP and PIP,identify the artificial particles,and calculate the cloud microphysical parameters,thereby satisfying the requirements of the CIP and PIP’s data quality control.The software that we developed was then applied to process the image data measured from a precipitation stratus cloud above Shanxi on April 20,2010.The acquired results reflect the vertical structure and particle spectrum evolution of the cloud,and this suggests that the software is quite helpful toward cloud and precipitation microphysics research.