Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2601-2021
https://doi.org/10.5194/tc-15-2601-2021
Research article
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11 Jun 2021
Research article | Highlight paper |  | 11 Jun 2021

Mapping the aerodynamic roughness of the Greenland Ice Sheet surface using ICESat-2: evaluation over the K-transect

Maurice van Tiggelen, Paul C. J. P. Smeets, Carleen H. Reijmer, Bert Wouters, Jakob F. Steiner, Emile J. Nieuwstraten, Walter W. Immerzeel, and Michiel R. van den Broeke

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Cited articles

Andreas, E. L.: Air-ice drag coefficients in the western Weddell Sea 2. A model based on form drag and drifting snow, J. Geophys. Res., 100, 4833–4843, https://doi.org/10.1029/94JC02016, 1995. a, b, c
Arya, S. P. S.: A Drag Partition Theory for Determining the Large-Scale Roughness Parameter and Wind Stress on the Arctic Pack Ice, J. Geophys. Res., 80, 3447–3454, 1975. a
Brock, B. W., Willis, I. C., and Sharp, M. J.: Measurement and parameterization of aerodynamic roughness length variations at Haut Glacier d'Arolla, Switzerland, J. Glaciol., 52, 281–297, 2006. a
Brunt, K. M., Neumann, T. A., and Smith, B. E.: Assessment of ICESat-2 Ice Sheet Surface Heights, Based on Comparisons Over the Interior of the Antarctic Ice Sheet, Geophys. Res. Lett., 46, 13072–13078, https://doi.org/10.1029/2019GL084886, 2019. a
Chambers, J. R., Smith, M. W., Quincey, D. J., Carrivick, J. L., Ross, A. N., and James, M. R.: Glacial aerodynamic roughness estimates: uncertainty, sensitivity and precision in field measurements, J. Geophys. Res.-Earth Surf., 125, e2019JF005167, https://doi.org/10.1029/2019jf005167, 2019. a, b
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Short summary
We developed a method to estimate the aerodynamic properties of the Greenland Ice Sheet surface using either UAV or ICESat-2 elevation data. We show that this new method is able to reproduce the important spatiotemporal variability in surface aerodynamic roughness, measured by the field observations. The new maps of surface roughness can be used in atmospheric models to improve simulations of surface turbulent heat fluxes and therefore surface energy and mass balance over rough ice worldwide.
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