Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2601-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-2601-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
11 Jun 2021
Research article | Highlight paper |
| 11 Jun 2021
| 11 Jun 2021
Mapping the aerodynamic roughness of the Greenland Ice Sheet surface using ICESat-2: evaluation over the K-transect
Institute for Marine and Atmospheric research (IMAU), Utrecht University, Utrecht, the Netherlands
Paul C. J. P. Smeets
Institute for Marine and Atmospheric research (IMAU), Utrecht University, Utrecht, the Netherlands
Carleen H. Reijmer
Institute for Marine and Atmospheric research (IMAU), Utrecht University, Utrecht, the Netherlands
Bert Wouters
Institute for Marine and Atmospheric research (IMAU), Utrecht University, Utrecht, the Netherlands
Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Jakob F. Steiner
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
International Centre for Integrated Mountain Development, Kathmandu, Nepal
Emile J. Nieuwstraten
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Walter W. Immerzeel
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Michiel R. van den Broeke
Institute for Marine and Atmospheric research (IMAU), Utrecht University, Utrecht, the Netherlands
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Cited
15 citations as recorded by crossref.
- Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data Y. Zhao et al. 10.1109/LGRS.2021.3127540
- Impacts of a revised surface roughness parameterization in the Community Land Model 5.1 R. Meier et al. 10.5194/gmd-15-2365-2022
- Advances in monitoring glaciological processes in Kalallit Nunaat (Greenland) over the past decades D. Fahrner et al. 10.1371/journal.pclm.0000379
- Time‐lapse photogrammetry reveals hydrological controls of fine‐scale High‐Arctic glacier surface roughness evolution T. Irvine‐Fynn et al. 10.1002/esp.5339
- Observed and Parameterized Roughness Lengths for Momentum and Heat Over Rough Ice Surfaces M. van Tiggelen et al. 10.1029/2022JD036970
- Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping A. Dachauer et al. 10.5194/tc-15-5513-2021
- Contrasting current and future surface melt rates on the ice sheets of Greenland and Antarctica: Lessons from in situ observations and climate models M. van den Broeke et al. 10.1371/journal.pclm.0000203
- Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. 10.1029/2022RG000770
- Greenland Ice Sheet surface roughness from Ku- and Ka-band radar altimetry surface echo strengths K. Scanlan et al. 10.5194/tc-19-1221-2025
- Relating GNSS Reflected Signal Coherence to Ice Shelf Surface Deformation and Roughness S. Anderson et al. 10.1109/TGRS.2025.3538558
- Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth S. Sun-Mack et al. 10.3389/frsen.2025.1591276
- Observing the Near‐Surface Properties of the Greenland Ice Sheet K. Scanlan et al. 10.1029/2022GL101702
- Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction B. Li et al. 10.3390/rs14010218
- Spatiotemporal patterns of accumulation and surface roughness in interior Greenland with a GNSS-IR network D. Pickell et al. 10.5194/tc-19-1013-2025
- Impact of updated radiative transfer scheme in snow and ice in RACMO2.3p3 on the surface mass and energy budget of the Greenland ice sheet C. van Dalum et al. 10.5194/tc-15-1823-2021
14 citations as recorded by crossref.
- Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data Y. Zhao et al. 10.1109/LGRS.2021.3127540
- Impacts of a revised surface roughness parameterization in the Community Land Model 5.1 R. Meier et al. 10.5194/gmd-15-2365-2022
- Advances in monitoring glaciological processes in Kalallit Nunaat (Greenland) over the past decades D. Fahrner et al. 10.1371/journal.pclm.0000379
- Time‐lapse photogrammetry reveals hydrological controls of fine‐scale High‐Arctic glacier surface roughness evolution T. Irvine‐Fynn et al. 10.1002/esp.5339
- Observed and Parameterized Roughness Lengths for Momentum and Heat Over Rough Ice Surfaces M. van Tiggelen et al. 10.1029/2022JD036970
- Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping A. Dachauer et al. 10.5194/tc-15-5513-2021
- Contrasting current and future surface melt rates on the ice sheets of Greenland and Antarctica: Lessons from in situ observations and climate models M. van den Broeke et al. 10.1371/journal.pclm.0000203
- Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. 10.1029/2022RG000770
- Greenland Ice Sheet surface roughness from Ku- and Ka-band radar altimetry surface echo strengths K. Scanlan et al. 10.5194/tc-19-1221-2025
- Relating GNSS Reflected Signal Coherence to Ice Shelf Surface Deformation and Roughness S. Anderson et al. 10.1109/TGRS.2025.3538558
- Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth S. Sun-Mack et al. 10.3389/frsen.2025.1591276
- Observing the Near‐Surface Properties of the Greenland Ice Sheet K. Scanlan et al. 10.1029/2022GL101702
- Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction B. Li et al. 10.3390/rs14010218
- Spatiotemporal patterns of accumulation and surface roughness in interior Greenland with a GNSS-IR network D. Pickell et al. 10.5194/tc-19-1013-2025
Latest update: 18 Jul 2025
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.
We developed a method to estimate the aerodynamic properties of the Greenland Ice Sheet surface...
