Articles | Volume 15, issue 10
https://doi.org/10.5194/tc-15-4781-2021
© Author(s) 2021. 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-15-4781-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2021
Research article |
| 12 Oct 2021
| 12 Oct 2021
Recent changes in pan-Arctic sea ice, lake ice, and snow-on/off timing
Alicia A. Dauginis
Department of Geography, Geomatics and Environment, University of Toronto Mississauga, Mississauga, L5L 1C6,
Canada
Department of Geography, Geomatics and Environment, University of Toronto Mississauga, Mississauga, L5L 1C6,
Canada
Related authors
No articles found.
Kathy L. Young and Laura C. Brown
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-297, https://doi.org/10.5194/hess-2023-297, 2024
Preprint under review for HESS
Short summary
Short summary
This work details the temperature and related variables of several High Arctic ponds in the Nanuit Itillinga (Polar Bear Pass) National Wildlife Area through nine seasons. The ponds show much variability in their temperature patterns over time and space. Ponds normally reached 10–15 °C for parts of the summer except in 2013, a cold summer season when pond temperatures never exceeded 5 °C. This study contributes to the ongoing discussion of climate warming and its impact on Arctic landscapes.
Alexis L. Robinson, Sarah S. Ariano, and Laura C. Brown
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-156, https://doi.org/10.5194/hess-2020-156, 2020
Manuscript not accepted for further review
Short summary
Short summary
We present a comparison of measured and modelled ice phenology for High Arctic and temperate latitudes. Our findings show the importance of regionally specific snow and ice albedo parameterization is critical to the simulation of ice cover due to the impacts of albedo on ice thickness, melt and ice-off dates. Field measured temperate region snow and ice albedo resulted in improvements to modelled ice thickness (~ 0.1–10 cm of field data) and improved the modelled ice-off timing to 1 to 7 days.
Related subject area
Discipline: Sea ice | Subject: Seasonal Snow
From snow accumulation to snow depth distributions by quantifying meteoric ice fractions in the Weddell Sea
Local-scale variability of snow density on Arctic sea ice
Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers
Stefanie Arndt, Nina Maaß, Leonard Rossmann, and Marcel Nicolaus
EGUsphere, https://doi.org/10.5194/egusphere-2023-2398, https://doi.org/10.5194/egusphere-2023-2398, 2023
Short summary
Short summary
Antarctic sea ice maintains year-round snow cover, crucial for its energy and mass budgets. Despite its significance, snow depth remains poorly understood. Over the last decades, Snow Buoys have been deployed extensively on the sea ice to measure snow accumulation but not actual depth due to snow transformation into meteoric ice. Therefore, in this study, we utilize sea ice and snow models to estimate meteoric ice fractions in order to calculate actual snow depth in the Weddell Sea.
Joshua King, Stephen Howell, Mike Brady, Peter Toose, Chris Derksen, Christian Haas, and Justin Beckers
The Cryosphere, 14, 4323–4339, https://doi.org/10.5194/tc-14-4323-2020, https://doi.org/10.5194/tc-14-4323-2020, 2020
Short summary
Short summary
Physical measurements of snow on sea ice are sparse, making it difficulty to evaluate satellite estimates or model representations. Here, we introduce new measurements of snow properties on sea ice to better understand variability at distances less than 200 m. Our work shows that similarities in the snow structure are found at longer distances on younger ice than older ice.
Stefanie Arndt and Christian Haas
The Cryosphere, 13, 1943–1958, https://doi.org/10.5194/tc-13-1943-2019, https://doi.org/10.5194/tc-13-1943-2019, 2019
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Short summary
This work examines changes in the timing (on/off dates) of Arctic snow, lake ice, and sea ice to investigate how they have responded to recent climate change and determine if they are responding similarly. We looked at pan-Arctic trends since 1997 and regional trends since 2004 using (mainly) satellite data. Strong regional variability was shown in the snow and ice trends, which highlights the need for a detailed understanding of the regional response to ongoing changes in the Arctic climate.
This work examines changes in the timing (on/off dates) of Arctic snow, lake ice, and sea ice to...
