Articles | Volume 18, issue 12
https://doi.org/10.5194/tc-18-5985-2024
https://doi.org/10.5194/tc-18-5985-2024
Research article
 | 
18 Dec 2024
Research article |  | 18 Dec 2024

Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness

Imke Sievers, Henriette Skourup, and Till A. S. Rasmussen

Data sets

First-year sea-ice salinity, temperature, density, oxygen and hydrogen isotope composition from the main coring site (MCS-FYI) during MOSAiC legs 1 to 4 in 2019/2020 M. Oggier et al. https://doi.org/10.1594/PANGAEA.956732

Second-year sea-ice salinity, temperature, density, oxygen and hydrogen isotope composition from the main coring site (MCS-SYI) during MOSAiC legs 1 to 4 in 2019/2020 M. Oggier et al. https://doi.org/10.1594/PANGAEA.959830

Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean Arttu Jutila et al. https://doi.org/10.1594/PANGAEA.966009

Airborne sea ice parameters during the IceBird Winter 2019 campaign in the Arctic Ocean Arttu Jutila et al. https://doi.org/10.1594/PANGAEA.966057

WOA 2018 - Data Access: Statistical mean of Temperature on 0.25° grid for all decades NCEI https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/bin/woa18.pl

Product User Guide & Algorithm Specification: AWI CryoSat-2 Sea Ice Thickness (version 2.4) (ftp://ftp.awi.de/sea_ice/product/cryosat2/) S. Hendricks et al. https://epic.awi.de/id/eprint/53331/

Model code and software

CICE-Consortium/CICE: CICE Version 6.2.0 Elizabeth Hunke et al. https://doi.org/10.5281/zenodo.4671172

NEMO Ocean Engine Reference Manual Gurvan Madec et al. https://doi.org/10.5281/zenodo.8167700

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Short summary
To derive sea ice thickness (SIT) from satellite freeboard (FB) observations, assumptions about snow thickness, snow density, sea ice density and water density are needed. These parameters are impossible to observe alongside FB, so many existing products use empirical values. In this study, modeled values are used instead. The modeled values and otherwise commonly used empirical values are evaluated against in situ observations. In a further analysis, the influence on SIT is quantified.