ICESat-2 monthly gridded winter Arctic sea ice thickness
Monthly gridded (winter only) Arctic sea ice thickness estimates from ICESat-2 derived using ATL10 freeboards (https://nsidc.org/data/atl10) together with snow depth and density estimates from the NASA Eulerian Snow on Sea Ice Model (NESOSIM, https://github.com/akpetty/NESOSIM). Along-track data (fr...
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| Format: | Dataset |
| Language: | English |
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Zenodo
2020
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| Online Access: | https://dx.doi.org/10.5281/zenodo.4287703 https://zenodo.org/record/4287703 |
| Summary: | Monthly gridded (winter only) Arctic sea ice thickness estimates from ICESat-2 derived using ATL10 freeboards (https://nsidc.org/data/atl10) together with snow depth and density estimates from the NASA Eulerian Snow on Sea Ice Model (NESOSIM, https://github.com/akpetty/NESOSIM). Along-track data (from the three strong beams) are binned to the 25 km x 25 km NSIDC polar stereographic projection (EPSG:3411). The full processing chain is described in Petty et al., (2020) (code available at https://github.com/akpetty/ICESat-2-sea-ice-thickness) including several updates as detailed below. Temporal range: November 2018 - April 2019, October 2019 to April 2020. Data: A single netCDF file is included for each month. Variables include: Sea ice freeboard (from ATL10) Snow depth (redistributed NESOSIM) Snow density (redistributed NESOSIM) Bulk sea ice density Sea ice type (from OSI SAF) Sea ice thickness uncertainty Mean day of month in a given grid cell Number of freeboard segments in a given grid cell. A summary of the differences between the version 1 and version 2 winter Arctic sea ice thickness estimates are being presented at AGU 2020 and prepared for publication. Key changes from version 1 (Petty et al., 2020) to version 2 include: Use of release 003 ATL10 freeboards. A detailed assessment of the freeboard changes from release 002 to release 003 is provided in Kwok et al., (2020). Upgrade to NESOSIM v1.1: CloudSat scaling of ERA5 snowfall, a new atmospheric wind loss term, calibration against recent OIB snow depths, an extended Arctic Ocean domain and various bug fixes (https://github.com/akpetty/NESOSIM). Use of all three strong beams (instead of just strong beam #1). The data have also been made available on a Google Cloud bucket to enable rapid data analysis from any cloud-based analytics platform: gs://sea-ice-thickness-data/v2/ : The original (version 1) sea ice thickness data are available at https://doi.org/10.5067/CV6JEXEE31HF : {"references": ["Petty, A. A., N. T. Kurtz, R. Kwok, T. Markus, T. A. Neumann (2020), Winter Arctic sea ice thickness from ICESat\u20102 freeboards, Journal of Geophysical Research: Oceans, 125, e2019JC015764. doi:10.1029/2019JC015764", "Kwok, R., A. A. Petty, M. Bagnardi, N. T. Kurtz, G. F. Cunningham, A. Ivanoff (2020), Refining the sea surface identification approach for determining freeboard in the ICESat-2 sea ice products. The Cryosphere Discuss, doi:10.5194/tc-2020-174."]} |
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