集成全球无线电探空仪档案工具包（IGRAT）：用于无线电探空仪数据分析的Python库

IF 2.4 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Geoscience Data Journal Pub Date : 2025-09-30 DOI:10.1002/gdj3.70034

Peter T. Phan, Hamed D. Ibrahim

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引用次数: 0

摘要

综合全球无线电探空仪档案工具包（IGRAT）是一种允许用户处理综合全球无线电探空仪档案数据的软件。该档案以基于文本的格式提供全球无线电探空仪观测，需要额外的操作才能使其适合分析。IGRAT提供了一套易于使用的工具来简化这一预处理步骤，允许用户轻松地可视化时间和空间模式，绘制大气剖面，并以更标准的格式导出处理过的数据集。IGRAT可以通过Python库和web界面访问，用户可以将其应用到他们喜欢的工作流中。IGRAT显著减少了分析前的预处理时间，使其适用于气候研究、气象学和大气科学。IGRAT是完全开源的，允许社区做出贡献并修改IGRAT供个人使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Integrated Global Radiosonde Archive Toolkit (IGRAT): A Python Library for Radiosonde Data Analysis

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Integrated Global Radiosonde Archive Toolkit (IGRAT): A Python Library for Radiosonde Data Analysis

Integrated Global Radiosonde Archive Toolkit (IGRAT) is a software that allows users to process data from the Integrated Global Radiosonde Archive. The archive provides global radiosonde observations in a text-based format that requires additional manipulation to make it suitable for analysis. IGRAT provides an easy-to-use set of tools to streamline this preprocessing step, allowing users to readily visualise temporal and spatial patterns, plot atmospheric profiles, and export processed data sets in the more standard formats. IGRAT is accessible through a Python library and web interface, and users can adopt it to their preferred workflow. IGRAT significantly reduces preprocessing time before analysis, making it suitable for applications in climate research, meteorology and atmospheric sciences. IGRAT is fully open-source, allowing the community to make contributions as well as modify IGRAT for personal use.

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来源期刊

Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

5.90

自引率

9.40%

发文量

审稿时长

4 weeks

期刊介绍： Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.