The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language
Open accessAbstract
The Python ARM Radar Toolkit is a package for reading, visualizing, correcting and analysing data from weather radars. Development began to meet the needs of the Atmospheric Radiation Measurement Climate Research Facility and has since expanded to provide a general-purpose framework for working with data from weather radars in the Python programming language. The toolkit is built on top of libraries in the Scientific Python ecosystem including NumPy, SciPy, and matplotlib, and makes use of Cython for interfacing with existing radar libraries written in C and to speed up computationally demanding algorithms. The source code for the toolkit is available on GitHub and is distributed under a BSD license.
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Cites
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
Matplotlib: a 2D graphics environment
Hunter, J. D. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.55 · Cited by 39,249
Python for scientific computing
Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303 · cited 1×
“The multi-dimensional array data structure from the NumPy library [14] is used as an effective means of storing numerical radar data in memory.”
AN OPERATIONAL OBJECTIVE ANALYSIS SYSTEM
CRESSMAN, G. P. (1959) · Monthly Weather Review · doi:10.1175/1520-0493(1959)087<0367:aooas>2.0.co;2 · Cited by 1,798
A Technique for Maximizing Details in Numerical Weather Map Analysis
Barnes, S. L. (1964) · Journal of Applied Meteorology · doi:10.1175/1520-0450(1964)003<0396:atfmdi>2.0.co;2 · Cited by 1,087
Being Sensitive to Uncertainty
Arriola, L. M., & Hyman, J. M. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.27 · Cited by 953
The Atmospheric Radiation Measurement Program
Ackerman, T. P., & Stokes, G. M. (2003) · Physics Today · doi:10.1063/1.1554135 · Cited by 585
F2PY: a tool for connecting Fortran and Python programs
Peterson, P. (2009) · International Journal of Computational Science and Engineering · doi:10.1504/ijcse.2009.029165 · Cited by 242
Technical Note: An open source library for processing weather radar data ( wradlib )
Heistermann, M., Jacobi, S., & Pfaff, T. (2013) · Hydrology and Earth System Sciences · doi:10.5194/hess-17-863-2013 · Cited by 176
The Emergence of Open-Source Software for the Weather Radar Community
Heistermann, M., Collis, S., Dixon, M., Giangrande, S., Helmus, J., Kelley, B., Koistinen, J., Michelson, D. B., Peura, M., Pfaff, T., et al. (2014) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-13-00240.1 · Cited by 57
Self-citation
Cited by
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Pulkkinen, S., Nerini, D., Pérez Hortal, A. A., Velasco-Forero, C., Seed, A., Germann, U., & Foresti, L. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-4185-2019 · Cited by 304
Metadata
- Authors
- Helmus, J. J., & Collis, S. M.
- Venue
- Journal of Open Research Software
- Publisher
- Ubiquity Press, Ltd.
- Published
- 2016-07-18
- Volume
- 4
- Issue
- 1
- Pages
- 25
- ISSN
- 2049-9647 (ISSN-L)
- OpenAlex
- W2477555870
- Cited by
- 477
- References
- 10
- FWCI
- 15.09
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
