A few noteworthy repositories/projects I have contributed to. Additional public GitHub repositories associated with my publications are listed in the Papers tab, or you can browse my GitHub.
A Jupyter Book showcasing preliminary (not peer reviewed yet!) estimates of under-ice photosynthetically active radiation (PAR) across the Arctic Ocean using cloud-based all-season ICESat-2 sea ice thickness and snow depth data combined with ERA5 atmospheric reanalysis accessed via the Earthmover Arraylake catalog: https://www.alekpetty.com/icey_ecosystems. Initial development funded through an NSF DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research) mini research project.
ICESat-2 sea ice thickness Jupyter Book analysis: https://www.icesat-2-sea-ice-state.info.
ICESat-2 sea ice thickness processing (a bit outdated now, needs updating): https://github.com/akpetty/ICESat-2-sea-ice-thickness.
NESOSIM source code: https://github.com/akpetty/NESOSIM.
NESOSIM v1.1 code archive: https://doi.org/10.5281/zenodo.4448355.
ICESat-2 sea ice state analysis (chord length and lead fraction): https://github.com/akpetty/ICESat-2-sea-ice-state.
Open source Python code developed for the ICESat-2 hackweeks hosted by the University of Washington eScience group. Other folks took over tutorial development after my initial efforts in 2019/2020 and are really quite nice and better than what I managed, so I strongly recommend those over my earlier versions:
2019 Hackweek IS-2 sea ice tutorial: https://github.com/ICESAT-2HackWeek/ICESat2_hackweek_tutorials.
2020 Hackweek IS-2 sea ice tutorial: https://github.com/ICESAT-2HackWeek/2020_ICESat-2_Hackweek_Tutorials.
2023 Hackweek sea ice tutorial: https://icesat-2-2023.hackweek.io/tutorials/sea_ice/1_sea_ice_tutorial.html.
2024 Hackweek (less specific sea ice focus): https://icesat-2-2024.hackweek.io.