Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-3595-2020
© Author(s) 2020. 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-14-3595-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Oct 2020
Research article |
| 31 Oct 2020
| 31 Oct 2020
Observation-derived ice growth curves show patterns and trends in maximum ice thickness and safe travel duration of Alaskan lakes and rivers
Christopher D. Arp
CORRESPONDING AUTHOR
Water and Environmental Research Center, University of Alaska
Fairbanks, Fairbanks, AK 99775, USA
Jessica E. Cherry
Water and Environmental Research Center, University of Alaska
Fairbanks, Fairbanks, AK 99775, USA
Alaska-Pacific River Forecast Center, National Weather Service,
Anchorage, AK 99502, USA
Dana R. N. Brown
Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks,
AK 99775, USA
Allen C. Bondurant
Water and Environmental Research Center, University of Alaska
Fairbanks, Fairbanks, AK 99775, USA
Karen L. Endres
Alaska-Pacific River Forecast Center, National Weather Service,
Fairbanks, AK 99775, USA
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-585, https://doi.org/10.5194/essd-2025-585, 2025
Preprint under review for ESSD
Short summary
Short summary
This dataset includes monthly measurements of carbon dioxide and methane exchange between land, water, and the atmosphere from over 1,000 sites in Arctic and boreal regions. It combines measurements from a variety of ecosystems, including wetlands, forests, tundra, lakes, and rivers, gathered by over 260 researchers from 1984–2024. This dataset can be used to improve and reduce uncertainty in carbon budgets in order to strengthen our understanding of climate feedbacks in a warming world.
Claire E. Simpson, Christopher D. Arp, Yongwei Sheng, Mark L. Carroll, Benjamin M. Jones, and Laurence C. Smith
Earth Syst. Sci. Data, 13, 1135–1150, https://doi.org/10.5194/essd-13-1135-2021, https://doi.org/10.5194/essd-13-1135-2021, 2021
Short summary
Short summary
Sonar depth point measurements collected at 17 lakes on the Arctic Coastal Plain of Alaska are used to train and validate models to map lake bathymetry. These models predict depth from remotely sensed lake color and are able to explain 58.5–97.6 % of depth variability. To calculate water volumes, we integrate this modeled bathymetry with lake surface area. Knowledge of Alaskan lake bathymetries and volumes is crucial to better understanding water storage, energy balance, and ecological habitat.
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Short summary
River and lake ice thickens at varying rates geographically and from year to year. We took a closer look at ice growth across a large geographic region experiencing rapid climate change, the State of Alaska, USA. Slower ice growth was most pronounced in northern Alaskan lakes over the last 60 years. Western and interior Alaska ice showed more variability in thickness and safe travel duration. This analysis provides a comprehensive evaluation of changing freshwater ice in Alaska.
River and lake ice thickens at varying rates geographically and from year to year. We took a...
