Articles | Volume 8, issue 3
https://doi.org/10.5194/tc-8-891-2014
© Author(s) 2014. 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-8-891-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 May 2014
Research article |
| 16 May 2014
The microwave emissivity variability of snow covered first-year sea ice from late winter to early summer: a model study
S. Willmes
University of Trier, Environmental Meteorology, 54286 Trier, Germany
M. Nicolaus
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Earth & Space Science {&} Engineering, York University, Toronto, Canada
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Cited
31 citations as recorded by crossref.
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- Review of Methods to Retrieve Sea-Ice Parameters from Satellite Microwave Radiometer Data E. Zabolotskikh https://doi.org/10.1134/S0001433818060166
- Microwave sea ice and ocean brightness temperature and emissivity between 22 and 243 GHz from ship-based radiometers J. Rückert et al. https://doi.org/10.1017/aog.2025.1
- Timing and regional patterns of snowmelt on Antarctic sea ice from passive microwave satellite observations S. Arndt et al. https://doi.org/10.1002/2015JC011504
- A Study on the Land Surface Emissivity (LSE) Distribution of Mid-wavelength Infrared (MWIR) over the Korean Peninsula J. Sun et al. https://doi.org/10.7780/kjrs.2016.32.5.3
- Snow in the changing sea-ice systems M. Webster et al. https://doi.org/10.1038/s41558-018-0286-7
- Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. https://doi.org/10.5194/essd-14-619-2022
- The Weddell Gyre, Southern Ocean: Present Knowledge and Future Challenges M. Vernet et al. https://doi.org/10.1029/2018RG000604
- Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul https://doi.org/10.1029/2018JC014447
- Community review of Southern Ocean satellite data needs A. Pope et al. https://doi.org/10.1017/S0954102016000390
- Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern et al. https://doi.org/10.5194/tc-16-349-2022
- Modeling the Microwave Emission of Snow on Arctic Sea Ice for Estimating the Uncertainty of Satellite Retrievals P. Rostosky et al. https://doi.org/10.1029/2019JC015465
- Comparison of a coupled snow thermodynamic and radiative transfer model with in situ active microwave signatures of snow-covered smooth first-year sea ice M. Fuller et al. https://doi.org/10.5194/tc-9-2149-2015
- The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations S. Kern et al. https://doi.org/10.5194/tc-10-2217-2016
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- Estimating Nonraining Surface Parameters to Assist GPM Constellation Radiometer Precipitation Algorithms F. Turk et al. https://doi.org/10.1175/JTECH-D-15-0229.1
- Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers S. Arndt & C. Haas https://doi.org/10.5194/tc-13-1943-2019
- The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output C. Burgard et al. https://doi.org/10.5194/tc-14-2369-2020
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. https://doi.org/10.5194/tc-18-4399-2024
- Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches S. Kern & B. Ozsoy-Çiçek https://doi.org/10.3390/rs8060450
- Wintertime Emissivities of the Arctic Sea Ice Types at the AMSR2 Frequencies E. Zabolotskikh & S. Azarov https://doi.org/10.3390/rs14235927
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. https://doi.org/10.1007/s13131-023-2179-5
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. https://doi.org/10.1109/TGRS.2023.3322401
- An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic E. Zabolotskikh et al. https://doi.org/10.1109/TGRS.2019.2948289
- Passive Microwave Melt Onset Retrieval Based on a Variable Threshold: Assessment in the Canadian Arctic Archipelago S. Marshall et al. https://doi.org/10.3390/rs11111304
- Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al. https://doi.org/10.5194/tc-9-1797-2015
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- Atmospheric Correction of Sea Ice Concentration Retrieval for 89 GHz AMSR-E Observations J. Lu et al. https://doi.org/10.1109/JSTARS.2018.2805193
- Improving model-satellite comparisons of sea ice melt onset with a satellite simulator A. Smith et al. https://doi.org/10.5194/tc-16-3235-2022
31 citations as recorded by crossref.
- Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels J. Stroeve et al. https://doi.org/10.5194/tc-10-1823-2016
- Review of Methods to Retrieve Sea-Ice Parameters from Satellite Microwave Radiometer Data E. Zabolotskikh https://doi.org/10.1134/S0001433818060166
- Microwave sea ice and ocean brightness temperature and emissivity between 22 and 243 GHz from ship-based radiometers J. Rückert et al. https://doi.org/10.1017/aog.2025.1
- Timing and regional patterns of snowmelt on Antarctic sea ice from passive microwave satellite observations S. Arndt et al. https://doi.org/10.1002/2015JC011504
- A Study on the Land Surface Emissivity (LSE) Distribution of Mid-wavelength Infrared (MWIR) over the Korean Peninsula J. Sun et al. https://doi.org/10.7780/kjrs.2016.32.5.3
- Snow in the changing sea-ice systems M. Webster et al. https://doi.org/10.1038/s41558-018-0286-7
- Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. https://doi.org/10.5194/essd-14-619-2022
- The Weddell Gyre, Southern Ocean: Present Knowledge and Future Challenges M. Vernet et al. https://doi.org/10.1029/2018RG000604
- Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul https://doi.org/10.1029/2018JC014447
- Community review of Southern Ocean satellite data needs A. Pope et al. https://doi.org/10.1017/S0954102016000390
- Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern et al. https://doi.org/10.5194/tc-16-349-2022
- Modeling the Microwave Emission of Snow on Arctic Sea Ice for Estimating the Uncertainty of Satellite Retrievals P. Rostosky et al. https://doi.org/10.1029/2019JC015465
- Comparison of a coupled snow thermodynamic and radiative transfer model with in situ active microwave signatures of snow-covered smooth first-year sea ice M. Fuller et al. https://doi.org/10.5194/tc-9-2149-2015
- The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations S. Kern et al. https://doi.org/10.5194/tc-10-2217-2016
- Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies P. Rostosky et al. https://doi.org/10.1029/2018JC014028
- Sensitivity of the Bootstrap sea ice concentration algorithm to surface parameters in the Antarctic marginal ice zone using passive microwave retrievals M. Stentella et al. https://doi.org/10.5194/tc-20-4465-2026
- Estimating Nonraining Surface Parameters to Assist GPM Constellation Radiometer Precipitation Algorithms F. Turk et al. https://doi.org/10.1175/JTECH-D-15-0229.1
- Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers S. Arndt & C. Haas https://doi.org/10.5194/tc-13-1943-2019
- The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output C. Burgard et al. https://doi.org/10.5194/tc-14-2369-2020
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. https://doi.org/10.5194/tc-18-4399-2024
- Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches S. Kern & B. Ozsoy-Çiçek https://doi.org/10.3390/rs8060450
- Wintertime Emissivities of the Arctic Sea Ice Types at the AMSR2 Frequencies E. Zabolotskikh & S. Azarov https://doi.org/10.3390/rs14235927
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. https://doi.org/10.1007/s13131-023-2179-5
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. https://doi.org/10.1109/TGRS.2023.3322401
- An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic E. Zabolotskikh et al. https://doi.org/10.1109/TGRS.2019.2948289
- Passive Microwave Melt Onset Retrieval Based on a Variable Threshold: Assessment in the Canadian Arctic Archipelago S. Marshall et al. https://doi.org/10.3390/rs11111304
- Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al. https://doi.org/10.5194/tc-9-1797-2015
- Variability of Arctic Sea Ice and Seawater Microwave Emissivities M. Zhivotovskaia et al. https://doi.org/10.1134/S0010952524601117
- Evaluation of Sea Ice Concentration Data Using Dual-Polarized Ratio Algorithm in Comparison With Other Satellite Passive Microwave Sea Ice Concentration Data Sets and Ship-Based Visual Observations F. Zong et al. https://doi.org/10.3389/fenvs.2022.856289
- Atmospheric Correction of Sea Ice Concentration Retrieval for 89 GHz AMSR-E Observations J. Lu et al. https://doi.org/10.1109/JSTARS.2018.2805193
- Improving model-satellite comparisons of sea ice melt onset with a satellite simulator A. Smith et al. https://doi.org/10.5194/tc-16-3235-2022
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