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New impact section in the doc
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46 changes: 46 additions & 0 deletions docs/impact.rst
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Impact of argopy
================

Papers & proceedings mentioning argopy
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- Bartlett, Jenna, "An investigation of geostationary satellite imagery to compare developing and non-developing African easterly waves" (2022). Theses and Dissertations. 5600. https://scholarsjunction.msstate.edu/td/5600

- Chafik, et.al, "The Faroe-Shetland Channel Jet: Structure, Variability, and Driving Mechanisms", 2023, JGR Oceans, https://doi.org/10.1029/2022JC019083

- Dan E. Kelley, Jaimie Harbin, Clark Richards, "argoFloats: An R Package for Analyzing Argo Data", 2021 Frontiers in Marine Science, https://doi.org/10.3389/fmars.2021.635922

- de Solo, Sofia M., "What makes a hurricane fall apart? A multi-platform assessment of tropical cyclone weakening By" (2021). Theses and Dissertations. 5274. https://scholarsjunction.msstate.edu/td/5274

- Dunnington et al., (2021). argodata: An R interface to oceanographic data from the International Argo Program. Journal of Open Source Software, 6(68), 3659, https://doi.org/10.21105/joss.03659

- Gonzalez A., "The Argo Online School: An e-learning tool to get started with Argo" (2023), The Journal of Open Source Education (Under review)

- Huda, Md Nurul, "Machine Learning for Improvement of Ocean Data Resolution for Weather Forecasting and Climatological Research" (2023). Theses and Dissertations, Virginia Tech, http://hdl.handle.net/10919/116504

- Steinberg, J. M., Piecuch, C. G., Hamlington, B. D., Thompson, P. R., & Coats, S. (2024). Influence of deep-ocean warming on coastal sea-level decadal trends in the Gulf of Mexico. Journal of Geophysical Research: Oceans, 129, e2023JC019681. https://doi.org/10.1029/2023JC019681

- Zhang, Y. (2023). Python Data Analysis Techniques in Administrative Information Integration Management System. In: Atiquzzaman, M., Yen, N.Y., Xu, Z. (eds) Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2. BDCPS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 168. Springer, Singapore. https://doi.org/10.1007/978-981-99-1157-8_35

Other interesting mentions
--------------------------

Blog post & personal pages :

- Kim Wood : https://kouya.has.arizona.edu/python/PythonResources.html

- Zachary Labe : https://zacklabe.com/methods-and-open-software

- WxGuy : https://wxguy.in/posts/list-of-python-packages-for-met-ocean-and-climate-science-applications

- Samapriya Roy : https://samapriyaroy.medium.com/open-ocean-data-with-argofloats-tool-50efef6c4f05

Some academic python env :

- Sydney univ academic conda env : http://climate-cms.wikis.unsw.edu.au/Conda

- NCU (australian computing infra) PyAOS env : https://opus.nci.org.au/display/DAE/PyAOS+-++Python+for+Atmosphere+and+Ocean+Science

- Heliocloud : https://git.smce.nasa.gov/heliocloud/heliocloud-docker-images/-/blob/main/environment_pangeo_base_min.yml?ref_type=heads

- Stackoverflow : https://stackoverflow.com/search?q=argopy
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* :doc:`why`
* :doc:`what_is_argo`
* :doc:`Gallery of examples <gallery>`
* :doc:`impact`

.. toctree::
:maxdepth: 2
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why
what_is_argo
Gallery of examples <gallery>
impact

**User Guide**

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