Articles | Volume 9, issue 1
https://doi.org/10.5194/tc-9-37-2015
© Author(s) 2015. 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-9-37-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jan 2015
Research article |
| 06 Jan 2015
The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
Center for Climate System Analysis and Prediction CliSAP, University of Hamburg, Hamburg, Germany
K. Khvorostovsky
Nansen Environmental and Remote Sensing Center NERSC, Bergen, Norway
H. Skourup
Danish Technical University-Space, Copenhagen, Denmark
E. Rinne
Finnish Meteorological Institute FMI, Helsinki, Finland
Z. S. Parsakhoo
Center for Climate System Analysis and Prediction CliSAP, University of Hamburg, Hamburg, Germany
now at: Institute for Meteorology and Geophysics, University of Cologne, Cologne, Germany
V. Djepa
University of Cambridge, Cambridge, UK
P. Wadhams
University of Cambridge, Cambridge, UK
S. Sandven
Nansen Environmental and Remote Sensing Center NERSC, Bergen, Norway
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49 citations as recorded by crossref.
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- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. 10.1109/TGRS.2023.3322401
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. 10.3390/rs11070881
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- Evaluation of Operation IceBridge quick‐look snow depth estimates on sea ice J. King et al. 10.1002/2015GL066389
- Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
49 citations as recorded by crossref.
- Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions X. Zhang et al. 10.1109/JSTARS.2021.3114228
- ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. 10.5194/esd-10-379-2019
- Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. 10.1109/TGRS.2023.3265274
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. 10.1109/TGRS.2023.3322401
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. 10.3390/rs11070881
- A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel‐LG): Part II—Analyses J. Stroeve et al. 10.1029/2019JC015900
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- Snow features on sea ice in the western Arctic Ocean during summer 2016 Q. Ji et al. 10.1080/17538947.2021.1966524
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. 10.3390/s20247011
- 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
- Estimation of Sea Ice Concentration in the Arctic Using SARAL/AltiKa Data C. Thombson et al. 10.1109/TGRS.2023.3328786
- Sea ice density measurements. Methods and uncertainties A. Pustogvar & A. Kulyakhtin 10.1016/j.coldregions.2016.09.001
- 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
- Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al. 10.5194/tc-9-1797-2015
- Potential for estimation of snow depth on Arctic sea ice from CryoSat-2 and SARAL/AltiKa missions K. Guerreiro et al. 10.1016/j.rse.2016.07.013
- Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. 10.1016/j.rse.2017.01.007
- 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
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
- Mineral Dust Instantaneous Radiative Forcing in the Arctic A. Kylling et al. 10.1029/2018GL077346
- Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar J. Karvonen et al. 10.5194/tc-16-1821-2022
- Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä 10.5194/tc-10-121-2016
- Arctic sea ice density observation and its impact on sea ice thickness retrieval from CryoSat–2 Q. Ji et al. 10.1016/j.coldregions.2020.103177
- Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover R. Mallett et al. 10.5194/tc-15-2429-2021
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. 10.5194/tc-12-3551-2018
- Regional distribution and variability of model-simulated Arctic snow on sea ice K. Castro-Morales et al. 10.1016/j.polar.2017.05.003
- 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 Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data Z. Dong et al. 10.3390/rs14041041
- Impact and Correction of Sea Ice, Snow, and Seawater Density on Arctic Sea-Ice Thickness Retrieval From Ku-Band SAR Altimeters X. Zhang et al. 10.1109/JMASS.2022.3212880
- 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
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. 10.1088/1748-9326/ab09b3
- Effects of microbial processes and CaCO3 dynamics on inorganic carbon cycling in snow-covered Arctic winter sea ice D. Søgaard et al. 10.3354/meps12868
- Geostatistical and Statistical Classification of Sea-Ice Properties and Provinces from SAR Data U. Herzfeld et al. 10.3390/rs8080616
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. 10.5194/tc-11-2059-2017
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. 10.1029/2021GL094541
- A Methodology for Fitting the Time Series of Snow Depth on the Arctic Sea Ice Y. Wang et al. 10.1175/JTECH-D-18-0093.1
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon 10.5194/tc-13-2421-2019
- Comparison of Freeboard Retrieval and Ice Thickness Calculation From ALS, ASIRAS, and CryoSat‐2 in the Norwegian Arctic to Field Measurements Made During the N‐ICE2015 Expedition J. King et al. 10.1002/2017JC013233
- Modeling the Microwave Emission of Snow on Arctic Sea Ice for Estimating the Uncertainty of Satellite Retrievals P. Rostosky et al. 10.1029/2019JC015465
- Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. 10.5194/tc-14-3761-2020
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Inter-Calibration of Passive Microwave Satellite Brightness Temperatures Observed by F13 SSM/I and F17 SSMIS for the Retrieval of Snow Depth on Arctic First-Year Sea Ice Q. Liu et al. 10.3390/rs10010036
- Snow depth on Arctic sea ice from historical in situ data E. Shalina & S. Sandven 10.5194/tc-12-1867-2018
- An Attempt to Improve Snow Depth Retrieval Using Satellite Microwave Radiometry for Rough Antarctic Sea Ice S. Kern & B. Ozsoy 10.3390/rs11192323
- Local-scale variability of snow density on Arctic sea ice J. King et al. 10.5194/tc-14-4323-2020
- Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al. 10.1002/2017GL074506
- Evaluation of Operation IceBridge quick‐look snow depth estimates on sea ice J. King et al. 10.1002/2015GL066389
- Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
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Latest update: 24 Apr 2024
Short summary
Snow depth and ice density are equally important parameters for sea ice thickness retrieval from radar altimetry of Arctic sea ice. Development of a new snow depth data set is mandatory as the Warren snow depth climatology does not represent the actual snow depth distribution. An optimal choice of ice density can be realized by including ice type and degree of deformation. Retrieval and validation enhancement requires more contemporary ice freeboard, thickness, and density and snow depth data.
Snow depth and ice density are equally important parameters for sea ice thickness retrieval from...
