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

• Published in: The cryosphere Vol. 17; no. 1; pp. 127 - 156
• Main Authors: Petty, Alek A, Keeney, Nicole, Cabaj, Alex, Kushner, Paul, Bagnardi, Marco
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 13.01.2023; Copernicus Publications
• Subjects: Algorithms; Arctic ice; Arctic sea ice; Classification; Comparative analysis; Data collection; Data entry; Estimates; Freeboard; Hemispheres; Ice; Ice conditions; Ice cover; Ice thickness; Impact assessment; Lasers; Monthly; Mooring; Ocean models; Oceans; Polar environments; Sea ice; Sea ice conditions; Sea ice models; Sea ice thickness; Seasonal variation; Seasons; Snow; Snow accumulation; Snow depth; Sonar; Thickness; Winter; Arctic Ocean; Arctic region
• ISSN: 1994-0424; 1994-0416; 1994-0424; 1994-0416
• DOI: 10.5194/tc-17-127-2023

NASA's ICESat-2 mission has provided near-continuous, high-resolution estimates of sea ice freeboard across both hemispheres since data collection started in October 2018. This study provides an impact assessment of upgrades to both the ICESat-2 freeboard data (ATL10) and NASA Eulerian Snow On Sea Ice Model (NESOSIM) snow loading on estimates of winter Arctic sea ice thickness. Misclassified leads were removed from the freeboard algorithm in the third release (rel003) of ATL10, which generally results in an increase in freeboards compared to rel002 data. The thickness increases due to increased freeboards in ATL10 improved comparisons of Inner Arctic Ocean sea ice thickness with thickness estimates from ESA's CryoSat-2. The upgrade from NESOSIM v1.0 to v1.1 results in only small changes in snow depth and density which have a less significant impact on thickness compared to the rel002 to rel003 ATL10 freeboard changes. The updated monthly gridded thickness data are validated against ice draft measurements obtained by upward-looking sonar moorings deployed in the Beaufort Sea, showing strong agreement (r2 of 0.87, differences of 11 ± 20 cm). The seasonal cycle in winter monthly mean Arctic sea ice thickness shows good agreement with various CryoSat-2 products (and a merged ICESat-2–CryoSat-2 product) and PIOMAS (Pan-Arctic Ice-Ocean Modeling and Assimilation System). Finally, changes in Arctic sea ice conditions over the past three winter seasons of data collection (November 2018–April 2021) are presented and discussed, including a 50 cm decline in multiyear ice thickness and negligible interannual differences in first-year ice. Interannual changes in snow depth provide a notable impact on the thickness retrievals on regional and seasonal scales. Our monthly gridded thickness analysis is provided online in a Jupyter Book format to increase transparency and user engagement with our ICESat-2 winter Arctic sea ice thickness data.