CACTI CSAPR2 Taranis Retrievals

Taranis is an end-to-end processing chain for radar data written in Python with C extension for computation performance. Features include: masking for quality control, specific differential phase (Kdp), attenuation correction for reflectivity factor (Z) and differential reflectivity (Zdr) in rain, and additional geophysical retrievals. Retrievals are mostly drawn from literature or open-source software when appropriate, and have been tested, tuned, and modified to work with one another cohesively rather than using isolated off-the-shelf algorithms. Incorporated algorithms include hydrometeor (echo) identification, rain water content, raindrop mass-weighted mean diameter (gamma size distribution assumption), and rainfall rate (QPE). Taranis data sets exist for CSAPR2 PPI, HSRHI, and sector RHI scans. Cartesian-gridded data sets were also produced as well as a near-surface rain rate retrieval. More details can be found in the README.

Taranis 是一款依托 Python 开发、搭载 C 语言扩展模块以提升计算性能的雷达数据端到端处理链。其功能涵盖：质量控制掩膜处理、比差分相位（Specific Differential Phase，Kdp）、降雨条件下反射率因子（Z）与差分反射率（Zdr）的衰减校正，以及额外的地球物理反演产品。
相关反演方法大多在适配场景下取自公开文献或开源软件，并经过测试、调优与协同适配修改，以实现各算法间的协同运行，而非采用孤立的现成算法。
内置算法包括水成物（回波）识别、雨水含量计算、雨滴质量加权平均直径（基于伽马尺度分布假设）以及降雨率（Quantitative Precipitation Estimation，QPE）。
Taranis 可处理 CSAPR2 雷达的平面位置指示（PPI）、高分辨率距离高度指示（HSRHI）以及扇形距离高度指示（RHI）扫描数据；同时还可生成笛卡尔网格化（Cartesian-gridded）数据集，以及近地面降雨率反演产品。
更多详细信息可参阅项目 README 文件。