Some of the key sea ice datasets and code repositories I have led the development of. Planning to add additional code and datasets I have contributed to at a later date.
ICESat-2 L4 along-track Arctic sea ice thickness (IS2SITDAT4)
This dataset reports daily, along-track winter sea ice thickness across the Arctic Ocean at the raw ATL10 segment scale (around 20 m) and also 10 km means.
Data: https://nsidc.org/data/IS2SITDAT4
Citation: Petty, A. A., N. T. Kurtz, R. Kwok, T. Markus, and T. A. Neumann. 2022. ICESat-2 L4 Along-Track Sea Ice Thickness, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: 10.5067/JTI5YG3S6VAJ.
ICESat-2 L4 monthly gridded Arctic sea ice thickness (IS2SITMOGR4)
This dataset reports monthly, gridded (25 km x 25 km) winter sea ice thickness across the Arctic Ocean.
Data: https://nsidc.org/data/IS2SITMOGR4
Citation: Petty, A. A., N. Kurtz, R. Kwok, T. Markus, T. A. Neumann and N. Keeney. 2023. ICESat-2 L4 Monthly Gridded Sea Ice Thickness, Version 3. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: 10.5067/ZCSU8Y5U1BQW.
Data featured in this NASA/ESA Earth Observing Dashboard. I did not choose the projection..!
I have also upoaded the data to a public AWS S3 bucket to enable more rapid analysis:
- Raw NetCDF-4 files: https://icesat-2-sea-ice-us-west-2.s3.us-west-2.amazonaws.com/IS2SITMOGR4_V3/netcdf/
- Zarr files (analysis ready cloud optimized): https://icesat-2-sea-ice-us-west-2.s3.us-west-2.amazonaws.com/IS2SITMOGR4_V3/zarr/
This data is also presented and analyzed in an online Jupyter Book: https://www.icesat-2-sea-ice-state.info
ICESat L4 Seasonal Gridded Sea Ice Thickness, Version 1 (ISSITGR4)
This dataset reports seasonally, gridded (25 km x 25 km) winter sea ice thickness across the Arctic Ocean during the ICESat campaign periods. NESOSIM v1.1 snow loading is used for processing, as in IS2SITMOGR4 (V2).
Data: https://nsidc.org/data/ISSITGR4
Citation: Petty, A. A., N. Kurtz, 2023. ICESat L4 Seasonal Gridded Sea Ice Thickness, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi:10.5067/1S5M59IQ0OK3.
ATLAS/ICESat-2 L3B ATL20 Daily and Monthly Gridded Sea Ice Freeboard (ATL20)
This dataset (ATL20) contains daily and monthly gridded (25 km x 25 km) estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10).
Data: https://nsidc.org/data/ATL20/
Citation: Petty, A. A., R. Kwok, M. Bagnardi, A. Ivanoff, N. Kurtz, J. Lee, J. Wimert, and D. Hancock. 2021. ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi:10.5067/ATLAS/ATL20.002.
ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly (ATL21)
This dataset contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V4).
Data: https://nsidc.org/data/ATL21/
Citation: Petty, A. A., R. Kwok, M. Bagnardi, N. Kurtz, J. Wimert, J. Lee, and D. Hancock. 2021. ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: 10.5067/ATLAS/ATL21.001.
NASA Eulerian Snow On Sea Ice Model (NESOSIM) version 1.1 (1980-2024)
This dataset contains Winter Arctic sea ice snow depth and density across the Arctic Ocean and peripheral seas on a North Polar Stereographic projection (EPSG: 3413).
Data: https://doi.org/10.5281/zenodo.5164313.
Code archive: https://doi.org/10.5281/zenodo.5164313.
NESOSIM upgrade reference: Petty A. A., N. Keeney, A. Cabaj, P. Kushner, M. Bagnardi (2023), Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection, The Cryosphere, 17, 127–156, doi: 10.5194/tc-17-127-2023.
Original paper reference: Petty, A. A., M. Webster, L. N. Boisvert, T. Markus (2018), The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: Initial model development and analysis, Geosci. Model Dev., doi: 10.5194/gmd-11-4577-2018.
NASA Eulerian Snow On Sea Ice Model (NESOSIM) v1.0 (2000-2015)
This dataset contains the original estimates of winter Arctic sea ice snow depth and density from the NASA Eulerian Snow On Sea Ice Model (NESOSIM) version 1.0.
Data: https://earth.gsfc.nasa.gov/cryo/data/nasa-eulerian-snow-sea-ice-model-nesosim.
Citation: Petty, A. A., M. Webster, L. N. Boisvert, T. Markus (2018), The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: Initial model development and analysis, Geosci. Model Dev., doi: 10.5194/gmd-11-4577-2018.
Public code repositories associated with my publications are listed in the Papers tab and are generally available on my GitHub profile: https://github.com/akpetty. A few noteworthy repositories/projects I have contributed to are listed here:
ICESat-2 sea ice thickness processing and analysis
ICESat-2 sea ice thickness analysis Jupyter Book: https://www.icesat-2-sea-ice-state.info.
ICESat-2 sea ice thickness processing GitHub link: https://github.com/akpetty/ICESat-2-sea-ice-thickness.
NASA Eulerian Snow On Sea Ice Model (NESOSIM) code
Active NESOSIM source code GitHub link: https://github.com/akpetty/NESOSIM.
NESOSIM code archive: https://doi.org/10.5281/zenodo.4448355.
ICESat-2 sea ice state analysis
ICESat-2 sea ice state analysis (chord length and lead fraction) GitHub link: https://github.com/akpetty/ICESat-2-sea-ice-state.
ICESat-2 sea ice hackweek tutorials
Open source Python code developed for the ICESat-2 hackweek 2020.
GitHub link: https://github.com/ICESAT-2HackWeek/2020_ICESat-2_Hackweek_Tutorials.
Code archive: https://zenodo.org/record/3966463.
Citation: Arendt, A., Scheick, J., Shean, D., Buckley, E., Grigsby, S., Haley, C., Heagy, L., Mohajerani, Y., Neumann, T., Nilsson, J., Markus, T., Paolo, F. S., Perez, F., Petty, A., Schweiger, A., Smith, B., Steiker, A., Alvis, S., Henderson, S., Holschuh, N., Liu, Z., Sutterly, T., (Aug. 2020). 2020 ICESat-2 Hackweek Tutorials. Version 1.0.0. Zenodo. doi: 10.5281/zenodo.3966463.
Open source Python code developed for the ICESat-2 hackweek 2019.
GitHub link: https://github.com/ICESAT-2HackWeek/ICESat2_hackweek_tutorials.
Code archive: https://zenodo.org/record/3966463.
Citation: Anthony Arendt, Ben Smith, David Shean, Amy Steiker, Alek Petty, Fernando Perez, Scott Henderson, Fernando Paolo, Johan Nilsson, Maya Becker, Susheel Adusumilli, Daniel Shapero, Bruce Wallin, Axel Schweiger, Suzanne Dickinson, Nicholas Hoschuh, Matthew Siegfried, Thomas Neumann. (2019). ICESAT-2HackWeek/ICESat2_hackweek_tutorials (Version 1.0). Zenodo. doi: 10.5281/zenodo.3360994.