9 citations as recorded by crossref.

1. New estimates of pan-Arctic sea ice–atmosphere neutral drag coefficients from ICESat-2 elevation data A. Mchedlishvili et al. https://doi.org/10.5194/tc-17-4103-2023
2. Uncertainties of Drag Coefficient Estimates Above Sea Ice from Field Data S. Blein et al. https://doi.org/10.1007/s10546-023-00851-9
3. Turbulent Heat Fluxes over Arctic Sea Ice: Measurements and Evaluation of Recent Parameterizations P. Srivastava et al. https://doi.org/10.1007/s10546-024-00887-5
4. Reducing Parametrization Errors for Polar Surface Turbulent Fluxes Using Machine Learning D. Cummins et al. https://doi.org/10.1007/s10546-023-00852-8
5. Surface Turbulent Fluxes From the MOSAiC Campaign Predicted by Machine Learning D. Cummins et al. https://doi.org/10.1029/2023GL105698
6. Integrating a data-driven classifier and shape-modulated segmentation for sea-ice floe extraction A. Wang et al. https://doi.org/10.1016/j.jag.2024.103726
7. Examining the sensitivity of ECMWF IFS weather forecasts to sea‐ice coupling for the summer‐time Arctic and cyclones H. Croad et al. https://doi.org/10.1002/qj.4899
8. Improved Simulation of the Polar Atmospheric Boundary Layer by Accounting for Aerodynamic Roughness in the Parameterization of Surface Scalar Exchange Over Sea Ice A. Elvidge et al. https://doi.org/10.1029/2022MS003305
9. Investigating Future Arctic Sea Ice Loss and Near‐Surface Wind Speed Changes Related to Surface Roughness Using the Community Earth System Model A. DuVivier et al. https://doi.org/10.1029/2023JD038824