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SounderPy v3.1.0 update -- improve obs data funct & correct s3 links
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.gitignore

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README.md

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# SounderPy: An atmospheric sounding visualization and analysis tool for Python
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LATEST VERSION: v3.0.9 | RELEASED: Aug, 2025 | COPYRIGHT Kyle J Gillett, 2023-2025
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LATEST VERSION: v3.1.0 | RELEASED: Oct, 2025 | COPYRIGHT Kyle J Gillett, 2023-2025
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SounderPy is an open-source Python package for retrieving, processing, and visualizing atmospheric sounding data.
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durable functionality, such as NumPy, Matplotlib, xarray, Metpy, and SHARPpy. SounderPy is
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available through GitHub and PyPi and is distributed under an MIT license.
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Read more about SounderPy in this article published in the Journal of Open Source Software: [SounderPy: An atmospheric sounding visualization and analysis tool for Python](https://doi.org/10.21105/joss.08087)
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SounderPy has been used by several institutions. For example, this tool has been implemented by the Des Moines, Columbia, and Grand Rapids National Weather Service Offices, the State University of New York at Albany, Mississippi State University, the University of North Dakota, and others. Many students at various universities have used SounderPy in projects, posters, and papers, such as students at The University of Oklahoma, Ohio State University, Central Michigan University, Iowa State University, & Rizal Technological University.
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SounderPy has been used by several institutions. For example, this tool has been implemented by the Des Moines, Columbia, and Grand Rapids National Weather Service Offices, the State University of New York at Albany, Mississippi State University, the University of North Dakota, and others. Many students at various universities have used SounderPy in projects, posters, and papers, such as students at The University of Oklahoma, Ohio State University, Central Michigan University, Iowa State University, & Rizal Technological University.
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## CITING SOUNDERPY
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To cite this package, please cite [SounderPy's JOSS article](https://doi.org/10.21105/joss.08087) in AMS format (below) or in BibTeX (see citation file).
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- Gillett, K. J., 2025: SounderPy: An atmospheric sounding visualization and analysis tool for Python. J. Open Source Software, 10 (112), 8087, https://doi.org/10.21105/joss.08087
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[![DOI](https://joss.theoj.org/papers/10.21105/joss.08087/status.svg)](https://doi.org/10.21105/joss.08087)
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## CITING SOUNDERPY
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[![DOI](https://joss.theoj.org/papers/10.21105/joss.08087/status.svg)](https://doi.org/10.21105/joss.08087)
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in AMS format:
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- Gillett, K. J., 2025: SounderPy: An atmospheric sounding visualization and analysis tool for Python. J. Open Source Software, 10 (112), 8087, https://doi.org/10.21105/joss.08087
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## REFERENCES
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- Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 10.1038/s41586-020-2649-2.

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# Sphinx build info version 1
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# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 411296b15b2c0f2abb05f90a17e5299a
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tags: 645f666f9bcd5a90fca523b33c5a78b7

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 06e8444d98a58aa52e2c4c20fcaa09f5
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# Sphinx build info version 1
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# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 5e7626be636423565556f17dcde9fe41
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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