The airborne two-dimensional stereo (2D-S) optical array probe has been operating for more than 10 yr, accumulating a large amount of cloud particle image data. However, due to the lack of reliable and unbiased classification tools, our ability to extract meaningful morphological information related to cloud microphysical processes is limited. To solve this issue, we propose a novel classification algorithm for 2D-S cloud particle images based on a convolutional neural network (CNN), named CNN-2DS. A 2D-S cloud particle shape dataset was established by using the 2D-S cloud particle images observed from 13 aircraft detection flights in 6 regions of China (Northeast, Northwest, North, East, Central, and South China). This dataset contains 33,300 cloud particle images with 8 types of cloud particle shape (linear, sphere, dendrite, aggregate, graupel, plate, donut, and irregular). The CNN-2DS model was trained and tested based on the established 2D-S dataset. Experimental results show that the CNN-2DS model can accurately identify cloud particles with an average classification accuracy of 97%. Compared with other common classification models [e.g., Vision Transformer (ViT) and Residual Neural Network (ResNet)], the CNN-2DS model is lightweight (few parameters) and fast in calculations, and has the highest classification accuracy. In a word, the proposed CNN-2DS model is effective and reliable for the classification of cloud particles detected by the 2D-S probe.

西北区域人工影响天气能力建设项目设计建设的新舟60增雨飞机是集催化作业、云宏微观探测以及实时通信与综合集成显示功能于一体的国家高性能人工增雨飞机.该飞机系统建设中充分汲取了前期东北区域国家增雨飞机研制成果与经验,并在系统供电管理、催化作业能力、探测系统集成、卫星通信功能、设备系统和操作台布局等方面进行了针对性设计改进,通过便捷操作实现对任务系统供电与各分系统的集中控制、综合显示、数据存储共享,并且机载探测、催化、通信各分系统均采用双重或多重备份设计,既保证了机载任务系统先进性设计,同时保证任务系统运行稳定可靠和各项功能的完整实现.

Crossing waypoint location problem( CWLP) is decisive for air route network design problem. CWLP is completely non-separating and non-differential,and thus can not be deal with conventional algorithms. In this paper,the application of differential evolution algorithm to solve the the route convergence point layout problem is proposed,in which the constraints take the violation severity and total number of conflict at every cross point into consideration. The former one determines the individual standard, the later one,the fitness of individual,is transformed into another target function. Beijing Flight Information Region route data is used in the experiment to verify the effectiveness of the algorithm.