Radio occultation (RO) by the Earth's atmosphere of the transmitted signals of the Global Navigation Satellite Systems' satellites has improved numerical weather prediction, has benefited atmospheric process studies, and benchmarked climate change by its strong traceability to the international definition of the second. Until now, research with RO has been isolated to the few centers that actually process the data and impracticable elsewhere because of limitations on data formats, organization and volume of the data, download bandwidth, and the lack of a database that can be queried before downloading data. We announce the availability of RO data in the Registry of Open Data of Amazon Web Services (AWS). RO data are freely available for download for the user and free to process and store for the manager of the repository. RO data as processed by the COSMIC Program Office at the University Corporation for Atmospheric Research, by the Radio Occultation Meteorology Satellite Application Facility (ROM SAF), by EUMETSAT, and by the NASA Jet Propulsion Laboratory are available beginning with calibrated (excess) phase, extending to bending angle and refractivity and to retrievals of pressure, temperature and water vapor. The same RO repository also contains a metadata database that permits simple querying, filtering, and download of data using a Python application programming interface provided by this same project. Four tutorial demonstrations are provided as jupyter notebooks to provide representative samples of code to perform common research activities with RO data, including database querying and analysis, inter-center comparison of RO retrieval performance, and atmospheric process studies.

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AWS 云中的 GNSS 无线电掩星数据

全球导航卫星系统卫星传输信号的地球大气层无线电掩星（RO）改进了数值天气预报，有利于大气过程研究，并通过其对国际秒定义的强大可追溯性来确定气候变化基准。到目前为止，RO 研究仅限于少数几个实际处理数据的中心，并且由于数据格式、数据组织和数据量、下载带宽以及缺乏下载前可查询的数据库的限制，在其他地方不可行。数据。我们宣布 Amazon Web Services (AWS) 开放数据注册表中提供了 RO 数据。 RO 数据可供用户免费下载，并可供存储库管理员免费处理和存储。由大气研究大学公司 COSMIC 项目办公室、无线电掩星气象卫星应用设施 (ROM SAF)、EUMETSAT 和 NASA 喷气推进实验室处理的 RO 数据从校准（多余）相位开始可用，延伸到弯曲角度和折射率以及压力、温度和水蒸气的检索。同一 RO 存储库还包含一个元数据数据库，允许使用同一项目提供的 Python 应用程序编程接口进行简单的查询、过滤和下载数据。提供了四个教程演示作为 jupyter 笔记本，以提供具有代表性的代码示例，以使用 RO 数据执行常见的研究活动，包括数据库查询和分析、RO 检索性能的中心间比较以及大气过程研究。