Python-ARM Radar Toolkit
Abstract
The Python-ARM Radar Toolkit (Py-ART) is a collection of radar quality control and retrieval codes which all work on two unifying Python objects: the PyRadar and PyGrid objects. By building ingests to several popular radar formats and then abstracting the interface Py-ART greatly simplifies data processing over several other available utilities. In addition Py-ART makes use of Numpy arrays as its primary storage mechanism enabling use of existing and extensive community software tools.
- Authors:
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1232114
- Report Number(s):
- PYART; 003406MLTPL00
ANL-SF-12-039
- DOE Contract Number:
- AC02-06CH11357
- Resource Type:
- Software
- Software Revision:
- 00
- Software Package Number:
- 003406
- Software Package Contents:
- Open Source Software package available from Argonne National Laboratory at the following URL: https://github.com/ARM-DOE/pyart
- Software CPU:
- MLTPL
- Open Source:
- Yes
- Source Code Available:
- Yes
- Country of Publication:
- United States
Citation Formats
Jonathan Helmus, Scott Collis. Python-ARM Radar Toolkit.
Computer software. https://www.osti.gov//servlets/purl/1232114. Vers. 00. USDOE. 17 Mar. 2013.
Web.
Jonathan Helmus, Scott Collis. (2013, March 17). Python-ARM Radar Toolkit (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1232114.
Jonathan Helmus, Scott Collis. Python-ARM Radar Toolkit.
Computer software. Version 00. March 17, 2013. https://www.osti.gov//servlets/purl/1232114.
@misc{osti_1232114,
title = {Python-ARM Radar Toolkit, Version 00},
author = {Jonathan Helmus, Scott Collis},
abstractNote = {The Python-ARM Radar Toolkit (Py-ART) is a collection of radar quality control and retrieval codes which all work on two unifying Python objects: the PyRadar and PyGrid objects. By building ingests to several popular radar formats and then abstracting the interface Py-ART greatly simplifies data processing over several other available utilities. In addition Py-ART makes use of Numpy arrays as its primary storage mechanism enabling use of existing and extensive community software tools.},
url = {https://www.osti.gov//servlets/purl/1232114},
doi = {},
url = {https://www.osti.gov/biblio/1232114},
year = {Sun Mar 17 00:00:00 EDT 2013},
month = {Sun Mar 17 00:00:00 EDT 2013},
note =
}
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