Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-3269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Aug 2022
Research article |
| 17 Aug 2022
| 17 Aug 2022
Spatial patterns of snow distribution in the sub-Arctic
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Greta Miller
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Robert Busey
International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, USA
Min Chen
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Emma R. Lathrop
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Julian B. Dann
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Mara Nutt
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Ryan Crumley
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Shannon L. Dillard
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Department of Geography, University of Wisconsin–Madison, Madison, WI, USA
Baptiste Dafflon
Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Jitendra Kumar
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA
W. Robert Bolton
International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, USA
Cathy J. Wilson
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Colleen M. Iversen
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Stan D. Wullschleger
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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Cited
8 citations as recorded by crossref.
- Editorial: Pan-Arctic snow research A. Spolaor et al. 10.3389/feart.2023.1266810
- Variability and drivers of winter near-surface temperatures over boreal and tundra landscapes V. Tyystjärvi et al. 10.5194/tc-18-403-2024
- Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S) R. Aguayo et al. 10.5194/tc-18-5383-2024
- How strong is Snow? Spatial correlations of snowpack load bearing capacity and micromechanics from NASA SnowEx SnowMicroPen Data at Grand Mesa, Colorado M. Tedesche et al. 10.1016/j.coldregions.2024.104369
- High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning E. Thaler et al. 10.1029/2023EA003015
- Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements S. Uhlemann et al. 10.1029/2023GL103987
- Chemostatic concentration–discharge behaviour observed in a headwater catchment underlain with discontinuous permafrost N. Conroy et al. 10.1002/hyp.14591
- Factors Controlling a Synthetic Aperture Radar (SAR) Derived Root-Zone Soil Moisture Product over The Seward Peninsula of Alaska J. Dann et al. 10.3390/rs14194927
6 citations as recorded by crossref.
- Editorial: Pan-Arctic snow research A. Spolaor et al. 10.3389/feart.2023.1266810
- Variability and drivers of winter near-surface temperatures over boreal and tundra landscapes V. Tyystjärvi et al. 10.5194/tc-18-403-2024
- Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S) R. Aguayo et al. 10.5194/tc-18-5383-2024
- How strong is Snow? Spatial correlations of snowpack load bearing capacity and micromechanics from NASA SnowEx SnowMicroPen Data at Grand Mesa, Colorado M. Tedesche et al. 10.1016/j.coldregions.2024.104369
- High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning E. Thaler et al. 10.1029/2023EA003015
- Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements S. Uhlemann et al. 10.1029/2023GL103987
2 citations as recorded by crossref.
- Chemostatic concentration–discharge behaviour observed in a headwater catchment underlain with discontinuous permafrost N. Conroy et al. 10.1002/hyp.14591
- Factors Controlling a Synthetic Aperture Radar (SAR) Derived Root-Zone Soil Moisture Product over The Seward Peninsula of Alaska J. Dann et al. 10.3390/rs14194927
Latest update: 13 Dec 2024
Short summary
In the Arctic and sub-Arctic, climate shifts are changing ecosystems, resulting in alterations in snow, shrubs, and permafrost. Thicker snow under shrubs can lead to warmer permafrost because deeper snow will insulate the ground from the cold winter. In this paper, we use modeling to characterize snow to better understand the drivers of snow distribution. Eventually, this work will be used to improve models used to study future changes in Arctic and sub-Arctic snow patterns.
In the Arctic and sub-Arctic, climate shifts are changing ecosystems, resulting in alterations...
