混合相态云在降水形成、地球辐射收支与气候变化中起着重要的作用，但对混合相态云中过冷液滴的测量一直是个难点，这影响到了对混合相态云中微物理过程及其对天气和气候影响机理的认识。针对混合相态云中过冷液滴测量这一难题，本项目拟利用云粒子成像仪(CPI)的高分辨率成像能力，通过构建粒子图像形状的识别方法，实现对混合相态云中过冷液滴的成像测量。主要研究内容包括：（1）高分辨率云粒子成像仪(CPI)的标定技术与圆形粒子粒径订正方法；（2）高分辨率云粒子成像仪(CPI)所测云粒子图像中伪粒子图像和过冷液滴图像的识别方法。通过本项目研究不仅可以解决混合相云区的过冷液滴测量问题，还可为人工影响天气作业的研究和民用飞机的适航认证提供一种辅助的技术手段，从而为国民经济发展作出贡献。

The mixed-phase cloud plays an important role in the formation of precipitation, the earth radiation budget and climate change. However, it is difficult to measure the supercooled liquid droplets in the mixed-phase cloud, which affects the understanding of the microphysical processes in the mixed phase cloud and its influence on the weather and climate. To solve this measurement problem, this project will utilize the high resolution imaging capability of cloud particle imager (CPI) and construct the shape identification method for the particle image to realize the supercooled liquid droplets' measurement in the mixed-phase cloud. The research mainly includes the calibration technology and the spherical particle size's reconstruction method for the high resolution cloud particle imager (CPI) and the identification methods for the artificial particles and the supercooled liquid droplets in the image data from the high resolution cloud particle imager (CPI). After completing this project, we can not only solve the problem of the supercooled liquid droplets' measurement, but also provide an assistant technology for the weather modification research and the test for the aircraft icing certification, which would contribute the development of our national economy.