Articles | Volume 11, issue 11
https://doi.org/10.5194/gmd-11-4577-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4577-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 Nov 2018
Model description paper |
| 16 Nov 2018
| 16 Nov 2018
The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: initial model development and analysis
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Melinda Webster
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Linette Boisvert
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Thorsten Markus
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
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- 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. https://doi.org/10.5194/tc-15-2429-2021
- Initial assessment of all-season Arctic sea ice thickness from ICESat-2 A. Petty et al. https://doi.org/10.1017/jog.2025.10119
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- Automated Calibration of a Snow‐On‐Sea‐Ice Model A. Cabaj et al. https://doi.org/10.1029/2022EA002655
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- Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations R. Mallett et al. https://doi.org/10.1017/jog.2022.18
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- Estimating Early Summer Snow Depth on Sea Ice Using a Radiative Transfer Model and Optical Satellite Data M. Wang & N. Oppelt https://doi.org/10.3390/rs15205016
- Investigating the impact of reanalysis snow input on an observationally calibrated snow-on-sea-ice reconstruction A. Cabaj et al. https://doi.org/10.5194/tc-19-3033-2025
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- Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. https://doi.org/10.1109/TGRS.2024.3358340
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- A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season Z. Yan et al. https://doi.org/10.1080/17538947.2024.2376260
- A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. https://doi.org/10.1016/j.rse.2021.112840
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- A Simulation of Snow on Antarctic Sea Ice Based on Satellite Data and Climate Reanalyses I. Lawrence et al. https://doi.org/10.1029/2022JC019002
- A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel‐LG): Part II—Analyses J. Stroeve et al. https://doi.org/10.1029/2019JC015900
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- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. https://doi.org/10.1007/s13131-021-1867-2
- Constraining CMIP6 sea ice simulations with ICESat-2 A. Petty et al. https://doi.org/10.5194/gmd-18-6313-2025
- A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I—Model Description G. Liston et al. https://doi.org/10.1029/2019JC015913
- Suppression of Arctic Sea Ice Growth in the Eurasian–Pacific Seas by Winter Clouds and Snowfall W. Lim et al. https://doi.org/10.1175/JCLI-D-21-0282.1
- Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2 Y. Zhou et al. https://doi.org/10.1016/j.coldregions.2024.104408
- Snowfall and snow accumulation during the MOSAiC winter and spring seasons D. Wagner et al. https://doi.org/10.5194/tc-16-2373-2022
- 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. https://doi.org/10.5194/tc-17-127-2023
- An Updated Assessment of the Changing Arctic Sea Ice Cover W. Meier & J. Stroeve https://doi.org/10.5670/oceanog.2022.114
- 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. https://doi.org/10.1109/TGRS.2023.3265274
- Meteorological effects on the Istok riometer cosmic noise measurements A. Oinats et al. https://doi.org/10.1016/j.asr.2026.04.113
- Dye tracing of upward brine migration in snow R. Mallett et al. https://doi.org/10.1017/aog.2024.27
- Arctic Ocean Precipitation From Atmospheric Reanalyses and Comparisons With North Pole Drifting Station Records A. Barrett et al. https://doi.org/10.1029/2019JC015415
- A Database of Snow on Sea Ice in the Central Arctic Collected during the MOSAiC expedition A. Macfarlane et al. https://doi.org/10.1038/s41597-023-02273-1
- 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
- Spatially distributed simulations of the effect of snow on mass balance and flooding of Antarctic sea ice N. Wever et al. https://doi.org/10.1017/jog.2021.54
Saved (final revised paper)
Latest update: 02 Oct 2026
