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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Geoscience data journal Ročník 12; číslo 4
Hlavní autoři: Phan, Peter T., Ibrahim, Hamed D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bognor Regis John Wiley & Sons, Inc 01.10.2025
Wiley
Témata:
ISSN:2049-6060, 2049-6060
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie: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