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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- Reconstructing Long-Term Arctic Sea Ice Freeboard, Thickness, and Volume Changes from Envisat, CryoSat-2, and ICESat-2 Y. Zhang et al. 10.3390/jmse11050979
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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. 10.5194/tc-15-2429-2021
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- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. 10.1029/2021GL094541
- Retrieval of Snow Depth over Arctic Sea Ice Using a Deep Neural Network J. Liu et al. 10.3390/rs11232864
- Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness I. Glissenaar et al. 10.5194/tc-15-4909-2021
- Automated Calibration of a Snow‐On‐Sea‐Ice Model A. Cabaj et al. 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. 10.1017/jog.2022.18
- Assessment of Satellite and Reanalysis Cold Season Snowfall Estimates Over Arctic Sea Ice Y. Song et al. 10.1029/2020GL088970
- Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al. 10.3390/rs17101680
- Evaluating the impact of blowing-snow sea salt aerosol on springtime BrO and O3 in the Arctic J. Huang et al. 10.5194/acp-20-7335-2020
- Inter-comparisons of Arctic snow depth products M. Li et al. 10.1080/17538947.2024.2376286
- 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
- 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
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- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
- Estimating Early Summer Snow Depth on Sea Ice Using a Radiative Transfer Model and Optical Satellite Data M. Wang & N. Oppelt 10.3390/rs15205016
- Snow Loss Into Leads in Arctic Sea Ice: Minimal in Typical Wintertime Conditions, but High During a Warm and Windy Snowfall Event D. Clemens‐Sewall et al. 10.1029/2023GL102816
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- Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates R. Mallett et al. 10.5194/tc-14-251-2020
- 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 combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season Z. Yan et al. 10.1080/17538947.2024.2376260
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