Python ARM Radar Toolkit (Py-ART) Roadmap

Program Document · Fri Dec 08 00:00:00 EST 2017

OSTI ID:1411865

Collis, Scott M ^[1]; Weber, Cory ^[1]; Helmus, Jonathan J ^[1]; Sherman, Zachary ^[1]

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1. Argonne National Lab. (ANL), Argonne, IL (United States)

Radar software is key for producing scientific insight from radar data. There are several platforms for interacting with radar data; the open-source variants are well documented in Heistermann et al. 2014. The Python ARM Radar Toolkit (Py-ART; Helmus and Collis, 2016) is one of these. This document is a guiding roadmap for development for Py-ART. It sets priorities for U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility-funded work and it advises the community which contributions are desired and will receive the most assistance from ARM-funded software engineers.

• Research Organization: DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• DOE Contract Number: DE-ACO5-7601830, DE-AC02-06CH11357
• OSTI ID: 1411865
• Report Number(s): DOE/SC-ARM-17-036
• Country of Publication: United States
• Language: English

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Python ARM Radar Toolkit
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