Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2211-2023
© Author(s) 2023. 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-17-2211-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jun 2023
Research article |
| 02 Jun 2023
| 02 Jun 2023
Wind redistribution of snow impacts the Ka- and Ku-band radar signatures of Arctic sea ice
Centre for Earth Observation Science (CEOS), University of Manitoba, Winnipeg, Canada
Department of Geography, University of Calgary, Calgary, Canada
Rosemary Willatt
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Robbie Mallett
Centre for Earth Observation Science (CEOS), University of Manitoba, Winnipeg, Canada
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Julienne Stroeve
Centre for Earth Observation Science (CEOS), University of Manitoba, Winnipeg, Canada
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Torsten Geldsetzer
Department of Geography, University of Calgary, Calgary, Canada
Randall Scharien
Department of Geography, University of Victoria, Victoria, Canada
Rasmus Tonboe
DTU Space, Technical University of Denmark, Copenhagen, Denmark
John Yackel
Department of Geography, University of Calgary, Calgary, Canada
Jack Landy
Centre for Integrated Remote Sensing and Forecasting for Arctic
Operations (CIRFA), UiT The Arctic University of Norway, Tromsø, Norway
David Clemens-Sewall
Thayer School of Engineering, Dartmouth College, Hanover, USA
Arttu Jutila
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
David N. Wagner
WSL Institute for Snow and Avalanche Research (SLF), Davos,
Switzerland
CRYOS, School of Architecture, Civil and Environmental Engineering, EPFL, Lausanne, Switzerland
Daniela Krampe
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
Marcus Huntemann
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Mallik Mahmud
Department of Geography, University of Calgary, Calgary, Canada
David Jensen
Centre for Earth Observation Science (CEOS), University of Manitoba, Winnipeg, Canada
Thomas Newman
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Stefan Hendricks
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
Gunnar Spreen
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Amy Macfarlane
WSL Institute for Snow and Avalanche Research (SLF), Davos,
Switzerland
Martin Schneebeli
WSL Institute for Snow and Avalanche Research (SLF), Davos,
Switzerland
James Mead
ProSensing Inc, Amherst, MA, USA
Robert Ricker
NORCE Norwegian Research Centre AS, Bergen, Norway
Michael Gallagher
Physical Sciences Laboratory, NOAA, Boulder, Colorado, USA
Claude Duguay
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada
H2O Geomatics Inc., Waterloo, Canada
Ian Raphael
Thayer School of Engineering, Dartmouth College, Hanover, USA
Chris Polashenski
Thayer School of Engineering, Dartmouth College, Hanover, USA
Michel Tsamados
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Ilkka Matero
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
Mario Hoppmann
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
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Cited
8 citations as recorded by crossref.
- Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. 10.34133/olar.0025
- C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars A. Jutila & C. Haas 10.1017/aog.2023.47
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services T. Xu et al. 10.1515/phys-2023-0154
- High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning D. Clemens-Sewall et al. 10.1038/s41597-023-02882-w
- Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. 10.1109/TGRS.2023.3318263
- Spatio-temporal variability of small-scale leads based on helicopter maps of winter sea ice surface temperatures L. Thielke et al. 10.1525/elementa.2023.00023
- Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. 10.1029/2023GL104461
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. 10.1029/2022GL100696
7 citations as recorded by crossref.
- Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. 10.34133/olar.0025
- C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars A. Jutila & C. Haas 10.1017/aog.2023.47
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services T. Xu et al. 10.1515/phys-2023-0154
- High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning D. Clemens-Sewall et al. 10.1038/s41597-023-02882-w
- Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. 10.1109/TGRS.2023.3318263
- Spatio-temporal variability of small-scale leads based on helicopter maps of winter sea ice surface temperatures L. Thielke et al. 10.1525/elementa.2023.00023
- Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. 10.1029/2023GL104461
1 citations as recorded by crossref.
Latest update: 14 Nov 2024
Short summary
We show that wind redistributes snow on Arctic sea ice, and Ka- and Ku-band radar measurements detect both newly deposited snow and buried snow layers that can affect the accuracy of snow depth estimates on sea ice. Radar, laser, meteorological, and snow data were collected during the MOSAiC expedition. With frequent occurrence of storms in the Arctic, our results show that
wind-redistributed snow needs to be accounted for to improve snow depth estimates on sea ice from satellite radars.
We show that wind redistributes snow on Arctic sea ice, and Ka- and Ku-band radar measurements...
