Integrated Global Radiosonde Archive Toolkit (IGRAT): A Python Library for Radiosonde Data Analysis
ABSTRACT 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 analys...
Saved in:
| Published in: | Geoscience data journal Vol. 12; no. 4 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Bognor Regis
John Wiley & Sons, Inc
01.10.2025
Wiley |
| Subjects: | |
| ISSN: | 2049-6060, 2049-6060 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | ABSTRACT
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.
The Integrated Global Radiosonde Archive Toolkit (IGRAT) is an open‐source Python library and web interface that streamlines preprocessing of text‐based radiosonde observations from the Integrated Global Radiosonde Archive. IGRAT enables rapid data filtering, profile plotting, spatiotemporal visualization, and export to standard formats, reducing preparation time and supporting applications in climate, meteorology, and atmospheric science. |
|---|---|
| Bibliography: | https://github.com/pnphan/igrat.git Software Link ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2049-6060 2049-6060 |
| DOI: | 10.1002/gdj3.70034 |