Articles | Volume 19, issue 10
https://doi.org/10.5194/tc-19-4193-2025
https://doi.org/10.5194/tc-19-4193-2025
Research article
 | 
02 Oct 2025
Research article |  | 02 Oct 2025

Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 2: Comparing airborne estimates with near-coincident CryoSat-2 and ICESat-2 (CRYO2ICE)

Renée Mie Fredensborg Hansen, Henriette Skourup, Eero Rinne, Arttu Jutila, Isobel R. Lawrence, Andrew Shepherd, Knut Vilhelm Høyland, Jilu Li, Fernando Rodriguez-Morales, Sebastian Bjerregaaard Simonsen, Jeremy Wilkinson, Gaelle Veyssiere, Donghui Yi, René Forsberg, and Taniâ Gil Duarte Casal

Data sets

Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO, FF-SAR and ESA-E CryoSat-2 processing chains R. M. Fredensborg Hansen https://doi.org/10.11583/DTU.26732227

ATLAS/ICESat-2 L3A Sea Ice Heigh R. Kwok et al. https://doi.org/10.5067/ATLAS/ATL07.006

ATLAS/ICESat-2 L3A Sea Ice Freeboard R. Kwok et al. https://doi.org/10.5067/ATLAS/ATL10.006

A Simulation of Snow on Antarctic Sea Ice Based on Satellite Data and Climate Reanalyses (http://www.cpom.ucl.ac.uk/cassis/) I. R. Lawrence et al. https://doi.org/10.1029/2022JC019002

AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids W. N. Meier et al. https://doi.org/10.5067/RA1MIJOYPK3P

Model code and software

cryo2iceant22-airborne-cryo2ice-weddell-sea-ice R. M. Fredensborg Hansen https://doi.org/10.5281/zenodo.13749342

Short summary
An airborne campaign collected unprecedented coincident multi-frequency radar and lidar data over sea ice along a CryoSat-2 and ICESat-2 (CRYO2ICE) orbit in the Weddell Sea, useful for evaluating microwave snow penetration. Ka-band and Ku-band had limited penetration with significant contributions from the air–snow interface, contradicting traditional assumptions with discrepancies between commonly used C/S-band "snow-radar" methodologies, all challenging comparisons of airborne and spaceborne estimates.
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