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@@ -163,8 +164,6 @@ Thanks for checking out and using SounderPy. My name is Kyle Gillett and I'm a m
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SounderPy is published on PyPi and the source code is available on GitHub -- this tool is an open source project. If you have found SounderPy useful in your work, I'd love to hear about it! The coolest part of this project has been hearing how many folks have been using this software. If you'd like to support continued SounderPy development, consider "`Buying me a coffee <https://www.buymeacoffee.com/kylejgillett>`_"! ☕.
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*Have an issue?* You can `open a GitHub Issue <https://github.com/kylejgillett/sounderpy/issues>`_ or just shoot me a DM on `Twitter <https://twitter.com/wxkylegillett>`_!
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@@ -183,3 +182,38 @@ Useful Links
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Thanks for using SounderPy!
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****************************************
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Publications Using SounderPy
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-----------------------------
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- Barton, B., and C. Gormley, 2025: Analysis of strongly tornadic environments in Central and Eastern Europe utilizing ERA5 reanalysis data. M.S. thesis, University of Oklahoma
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- Capuli, G., M. A. Noveno, and M. P. Ibañez, 2025: A case study of the tornadic supercell in the Province of Pampanga, Philippines (27 May 2024). arXiv, https://doi.org/10.48550/arXiv.2504.20559
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- Capuli, G. H., 2024: Friday the 13th hailstorm in the province of Bulacan, Philippines (13 August 2021): A case study. arXiv, https://arxiv.org/abs/2412.09307
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- Capuli, G., 2024: Project Severe Weather Archive of the Philippines (SWAP) Part 1: Establishing a baseline climatology for severe weather across the Philippine Archipelago. Ann. Geophys., 67(5), GC553, https://doi.org/10.4401/ag-9151
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- Coffer, B. E., M. D. Parker, M. C. Coniglio, and C. R. Homeyer, 2025: Supercell environments using GridRad-Severe and the HRRR: Addressing discrepancies between prior tornado datasets. Wea. Forecasting, 40, 1405–1428, https://doi.org/10.1175/WAF-D-24-0251.1
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- Hua, Z., A. Anderson-Frey, M. C. Brown, and Q. Jiang, 2025: A data-driven explainable framework for diagnosing cluster assignments of right-moving tornadic supercell soundings. Preprint, 4 Jul 2025.
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- Ibañez, M. P. A., J. A. Manalo, G. H. Capuli, and Coauthors, 2025: Spatiotemporal analysis of hail events in the Philippines. Asia-Pac. J. Atmos. Sci., 61, 24, https://doi.org/10.1007/s13143-025-00409-4
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- Kramer, Alex D., "The Influence of Complex Terrain on the Turin, New York Tornado of 2023" (2025). Atmospheric and Environmental Sciences Honors Program. 1. https://scholarsarchive.library.albany.edu/cas-daes-honors/1
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- Logan, T., X. Dong, B. Xi, X. Zheng, L. Wu, A. Abramowitz, and Coauthors, 2024: Assessing radiative impacts of African smoke aerosols over the southeastern Atlantic Ocean. Earth Space Sci., 11, e2023EA003138, https://doi.org/10.1029/2023EA003138
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- Logan, T., J. Hale, S. Butler, B. Lawrence, and S. Gardner, 2024: Occurrence of rare lightning events during Hurricane Nicholas (2021). Earth Space Sci., 11, e2024EA003733, https://doi.org/10.1029/2024EA003733
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- Logan, T., B. Smith, K. Calindi, C. White, and I. Jones, 2025: Comparison study of the electrical nature of two smoke-enhanced sea breeze thunderstorm cases during TRACER. J. Geophys. Res. Lett., submitted.
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- O’Neill, E., 2025: The sensitivity of the impact of cell mergers on supercell thunderstorms before versus after sunset. M.S. thesis, Department of Earth Science, The University of North Carolina at Charlotte, Charlotte
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- Staněk, M., 2024: Podmínky při vývoji weak-forcing derech ve střední Evropě. M.S. thesis, Department of Physical Geography and Geoecology, Faculty of Science, Charles University, Prague, Czech Republic.
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- Yattoni, A., 2024: The horizontal displacement of Macomb’s X-band and Davenport and Lincoln’s S-band radar images caused by atmospheric conditions. Master's Thesis, Department of Earth, Atmospheric, and Geographic Information Sciences, Western Illinois University, available from ProQuest Dissertations & Theses Global, https://ezproxy.library.und.edu/login?url=https://www.proquest.com/dissertations-theses/horizontal-displacement-macomb-s-x-band-davenport/docview/3143462326/se-2
- `Open a GitHub Issue <https://github.com/kylejgillett/sounderpy/issues>`_
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- Shoot me an email! (kyle.gillett@und.edu)
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- Shoot me a DM on X (@wxkylegillett)
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Contributing to SounderPy
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Contributions to this library are encouraged! Below are a few simple guidelines to follow if you are considering helping out this package.
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- **Tackling open issues on Github** -- feel free to search through unresolved `Github Issues <https://github.com/kylejgillett/sounderpy/issues>`_ and propose a solution!
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- **Contributing your code** -- if you have made local modifications to SounderPy, feel free to suggest adding your changes by opening a `GitHub pull request <https://github.com/kylejgillett/sounderpy/pulls>`_.
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- **Adding an entirely new feature** -- similarly to above, open a `GitHub pull request <https://github.com/kylejgillett/sounderpy/pulls>`_ with the proposed additions.
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- **Creating tutorials** -- So much of the code we write is best understood with comprehensive tutorials. I highly encourage anyone to build tutorials that explain the code, explain a specific use/task, or to simply provide more examples. Do so by opening a `GitHub pull request <https://github.com/kylejgillett/sounderpy/pulls>`_.
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**To contribute to SounderPy...**
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1. In GitHub, fork the SounderPy repository (repo) into your profile.
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2. Pull down the forked repo to your local machine.
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3. After making changes, commit them to your forked repo.
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4. Finally, open a Pull Request.
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- Pull requests, for any contribution, should include a detailed explanation of the code, why it's needed, and what it fixes/replaces.
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- Ensure that your code is well formatted, clean, commented and easy to read.
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- **IMPORTANT**: The goal of SounderPy is to make sounding analysis available to everyone -- beginners and experts alike. As such, SounderPy code should be *easy to read*, not just well-documented. In the case of this library, code that is clean and *easy to read* is valued more over code that is "fancy", "too-complex" and harder to read.
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@@ -80,6 +80,11 @@ Ingesting CM1 input_sounding Data
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# Now, pass the 'clean_data' dictionary into the SounderPy `build_sounding` function
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spy.build_sounding(clean_data)
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.. note::
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CM1 input_sounding height data *should* be "AGL", or "above ground level". This means you'll need an elevation value to plot your profile correctly. Find the elevation of where this profile is "supposed to be" and add it to the `meta_data_dict`.
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