TITIPy (Topside Ionosphere Turbulence Indices with Python) is a stand-alone Python tool developed for the calculation and mapping of RODI, ROTI, and ROTEI indices, for the characterization of the turbulent state of the topside ionosphere. Data gathered by Langmuir Probes and Precise Orbit Determination antennas on-board ESA Swarm satellites constellation are used to calculate topside ionosphere indices with a high time rate and a global coverage. From the study of these topside indices, information on physical mechanisms involved in the formation of small-scale irregularities (both spatial and temporal) can be drawn, particularly at high and low latitudes. TITIPy provides outputs as time series of calculated indices in text files, and figures as maps in geographic and magnetic coordinates. TITIPy is particularly suited for the investigation of the topside ionosphere irregularities, and for the identification of peculiar spatial and temporal patterns. The paper describes the TITIPy design and code workflow along with a detailed explanation of RODI, ROTI, and ROTEI indices calculation. Furthermore, an example of application based on data collected during the St. Patrick 2015 geomagnetic storm is also shown. TITIPy is open-source and freely downloadable at https://github.com/pignalberi/TITIPy.

TITIPy（使用Python的顶部电离层湍流指数）是一个独立的Python工具，用于计算和映射RODI，ROTI和ROTEI索引，用于表征电离层顶面的湍流状态。ESA Swarm卫星星座上的Langmuir探针和精确轨道确定天线收集的数据用于计算高时间率和全球覆盖范围的顶侧电离层指数。通过对这些顶面指数的研究，可以得出有关形成小尺度不规则（空间和时间）的物理机制的信息，特别是在高纬度和低纬度时。TITIPy以文本文件中的计算索引的时间序列形式提供输出，以地理和磁坐标形式的图形式提供图形。TITIPy特别适用于调查电离层顶部的不规则性，并用于识别特殊的时空模式。本文介绍了TITIPy设计和代码工作流程，以及RODI，ROTI和ROTEI索引计算的详细说明。此外，还显示了基于2015年圣帕特里克风暴期间收集的数据的应用示例。TITIPy是开源的，可从https://github.com/pignalberi/TITIPy免费下载。