Articles | Volume 11, issue 6
https://doi.org/10.5194/tc-11-2571-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-2571-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Nov 2017
Research article |
| 13 Nov 2017
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Nathan T. Kurtz
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, Maryland, USA
Ludovic Brucker
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, Maryland, USA
Universities Space Research Association, Goddard Earth Sciences Technology and
Research Studies and Investigations, Columbia, MD, USA
Alvaro Ivanoff
ADNET Systems Inc., Lanham, MD, USA
Thomas Newman
Department of Atmospheric Physics, University of Toronto, Toronto, Ontario, Canada
Sinead L. Farrell
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, Maryland, USA
Laboratory for Satellite Altimetry, Satellite Oceanography and
Climatology Division, NOAA Center for Weather and Climate Prediction,
College Park, Maryland, USA
Joshua King
Climate Research Division, Environment and Climate Change Canada,
Toronto, Ontario, Canada
Stephen Howell
Climate Research Division, Environment and Climate Change Canada,
Toronto, Ontario, Canada
Melinda A. Webster
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, Maryland, USA
John Paden
Center for Remote Sensing of Ice Sheets, The University of Kansas,
Lawrence, Kansas, USA
Carl Leuschen
Center for Remote Sensing of Ice Sheets, The University of Kansas,
Lawrence, Kansas, USA
Joseph A. MacGregor
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, Maryland, USA
Jacqueline Richter-Menge
Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, Alaska, USA
Jeremy Harbeck
ADNET Systems Inc., Lanham, MD, USA
Mark Tschudi
Colorado Center for Astrodynamics Research, University of Colorado Boulder, Boulder, Colorado, USA
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47 citations as recorded by crossref.
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- Snow in the changing sea-ice systems M. Webster et al. 10.1038/s41558-018-0286-7
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- Overview of the MOSAiC expedition: Snow and sea ice M. Nicolaus et al. 10.1525/elementa.2021.000046
- Retrieval of Snow Depths on Arctic Sea Ice in the Cold Season from FY-3D/MWRI Data Q. Yin et al. 10.3390/rs16050821
- Potential basin-scale estimates of Arctic snow depth with sea ice freeboards from CryoSat-2 and ICESat-2: An exploratory analysis R. Kwok & T. Markus 10.1016/j.asr.2017.09.007
- A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel‐LG): Part II—Analyses J. Stroeve et al. 10.1029/2019JC015900
- Empirical prediction of snow and land-fast sea ice temperature from surface meteorology on Pistolet Bay, Northern Newfoundland I. Turnbull et al. 10.1016/j.rineng.2019.100059
- Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. 10.1109/TGRS.2024.3358340
- Arctic Cloud Response to a Perturbation in Sea Ice Concentration: The North Water Polynya E. Monroe et al. 10.1029/2020JD034409
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. 10.5194/tc-15-5483-2021
- Arctic sea ice thickness retrievals from CryoSat-2: seasonal and interannual comparisons of three different products M. Li et al. 10.1080/01431161.2019.1637961
- Improving snow depth simulations on Arctic Sea ice by assimilating a passive microwave-derived record H. Li et al. 10.1016/j.coldregions.2023.103929
- Improved snow depth retrieval over Arctic sea ice from FY-3 satellites using machine learning and its future scenario projection C. Ke et al. 10.1016/j.jhydrol.2024.132105
- The SUMup dataset: compiled measurements of surface mass balance components over ice sheets and sea ice with analysis over Greenland L. Montgomery et al. 10.5194/essd-10-1959-2018
- Comparative Assessment of Snowfall Retrieval From Microwave Humidity Sounders Using Machine Learning Methods A. Adhikari et al. 10.1029/2020EA001357
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. 10.5194/tc-17-127-2023
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. 10.5194/tc-12-3551-2018
- Reconstruction of Snow on Arctic Sea Ice E. Blanchard‐Wrigglesworth et al. 10.1002/2017JC013364
- The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: initial model development and analysis A. Petty et al. 10.5194/gmd-11-4577-2018
- A Practical Approach to FMCW Radar Deconvolution in the Sea Ice Domain T. Newman et al. 10.1109/ACCESS.2024.3502502
- Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al. 10.5194/tc-15-345-2021
- A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. 10.1016/j.rse.2021.112840
- A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I—Model Description G. Liston et al. 10.1029/2019JC015913
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. 10.1109/TGRS.2023.3290073
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. 10.5194/tc-18-4399-2024
- High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al. 10.1109/TGRS.2021.3063756
- Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies P. Rostosky et al. 10.1029/2018JC014028
- A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
- Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses X. Lu et al. 10.3389/frsen.2022.891481
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. 10.1029/2021GL094541
- Wideband Backscattering From Alpine Snow Cover: A Full-Season Study R. Naderpour et al. 10.1109/TGRS.2021.3112772
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- The role of cyclone activity in snow accumulation on Arctic sea ice M. Webster et al. 10.1038/s41467-019-13299-8
- Assessment of Satellite and Reanalysis Cold Season Snowfall Estimates Over Arctic Sea Ice Y. Song et al. 10.1029/2020GL088970
- Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
- Modeling ringed seal Pusa hispida habitat and lair emergence timing in the eastern Bering and Chukchi Seas J. Lindsay et al. 10.3354/esr01140
- Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. 10.5194/tc-14-751-2020
- Arctic Snow Depth and Sea Ice Thickness From ICESat‐2 and CryoSat‐2 Freeboards: A First Examination R. Kwok et al. 10.1029/2019JC016008
- Snow depth on Arctic sea ice from historical in situ data E. Shalina & S. Sandven 10.5194/tc-12-1867-2018
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- Exploitation of trans-Arctic maritime transportation Z. Zhang et al. 10.1016/j.jclepro.2018.12.070
- Three years of sea ice freeboard, snow depth, and ice thickness of the Weddell Sea from Operation IceBridge and CryoSat-2 R. Kwok & S. Kacimi 10.5194/tc-12-2789-2018
- Automated Calibration of a Snow‐On‐Sea‐Ice Model A. Cabaj et al. 10.1029/2022EA002655
- Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
Latest update: 14 Dec 2024
Short summary
Since 2009, the ultra-wideband snow radar on Operation IceBridge has acquired data in annual campaigns conducted during the Arctic and Antarctic springs. Existing snow depth retrieval algorithms differ in the way the air–snow and snow–ice interfaces are detected and localized in the radar returns and in how the system limitations are addressed. Here, we assess five retrieval algorithms by comparisons with field measurements, ground-based campaigns, and analyzed fields of snow depth.
Since 2009, the ultra-wideband snow radar on Operation IceBridge has acquired data in annual...
