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Python-ARM Radar Toolkit

RESOURCE

Publicly Accessible Repository
https://github.com/ARM-DOE/pyart
https://doi.org/10.11578/dc.20171025.1603

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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.
Developers:
Release Date:
2013-03-16
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
3336
Site Accession Number:
5569
Research Org.:
Argonne National Laboratory
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/ARM-DOE/pyart
https://doi.org/10.11578/dc.20171025.1603

SAVE / SHARE



ANL Badge

Citation Formats

Jonathan Helmus, Scott C. Python-ARM Radar Toolkit. Computer Software. https://github.com/ARM-DOE/pyart. USDOE. 16 Mar. 2013. Web. doi:10.11578/dc.20171025.1603.
Jonathan Helmus, Scott C. (2013, March 16). Python-ARM Radar Toolkit. [Computer software]. https://github.com/ARM-DOE/pyart. https://doi.org/10.11578/dc.20171025.1603.
Jonathan Helmus, Scott C. "Python-ARM Radar Toolkit." Computer software. March 16, 2013. https://github.com/ARM-DOE/pyart. https://doi.org/10.11578/dc.20171025.1603.
@misc{ doecode_3336,
title = {Python-ARM Radar Toolkit},
author = {Jonathan Helmus, Scott C.},
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.},
doi = {10.11578/dc.20171025.1603},
url = {https://doi.org/10.11578/dc.20171025.1603},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1603}},
year = {2013},
month = {mar}
}