Articles | Volume 10, issue 3
https://doi.org/10.5194/tc-10-977-2016
https://doi.org/10.5194/tc-10-977-2016
Research article
 | 
12 May 2016
Research article |  | 12 May 2016

Frozen debris lobe morphology and movement: an overview of eight dynamic features, southern Brooks Range, Alaska

Margaret M. Darrow, Nora L. Gyswyt, Jocelyn M. Simpson, Ronald P. Daanen, and Trent D. Hubbard

Related subject area

Natural Hazards
Lake volume and potential hazards of moraine-dammed glacial lakes – a case study of Bienong Co, southeastern Tibetan Plateau
Hongyu Duan, Xiaojun Yao, Yuan Zhang, Huian Jin, Qi Wang, Zhishui Du, Jiayu Hu, Bin Wang, and Qianxun Wang
The Cryosphere, 17, 591–616, https://doi.org/10.5194/tc-17-591-2023,https://doi.org/10.5194/tc-17-591-2023, 2023
Short summary
A random forest model to assess snow instability from simulated snow stratigraphy
Stephanie Mayer, Alec van Herwijnen, Frank Techel, and Jürg Schweizer
The Cryosphere, 16, 4593–4615, https://doi.org/10.5194/tc-16-4593-2022,https://doi.org/10.5194/tc-16-4593-2022, 2022
Short summary
Using snow depth observations to provide insight into the quality of snowpack simulations for regional-scale avalanche forecasting
Simon Horton and Pascal Haegeli
The Cryosphere, 16, 3393–3411, https://doi.org/10.5194/tc-16-3393-2022,https://doi.org/10.5194/tc-16-3393-2022, 2022
Short summary
Snow Avalanche Frequency Estimation (SAFE): 32 years of monitoring remote avalanche depositional zones in high mountains of Afghanistan
Arnaud Caiserman, Roy C. Sidle, and Deo Raj Gurung
The Cryosphere, 16, 3295–3312, https://doi.org/10.5194/tc-16-3295-2022,https://doi.org/10.5194/tc-16-3295-2022, 2022
Short summary
Convolutional neural network and long short-term memory models for ice-jam predictions
Fatemehalsadat Madaeni, Karem Chokmani, Rachid Lhissou, Saeid Homayouni​​​​​​​, Yves Gauthier, and Simon Tolszczuk-Leclerc
The Cryosphere, 16, 1447–1468, https://doi.org/10.5194/tc-16-1447-2022,https://doi.org/10.5194/tc-16-1447-2022, 2022
Short summary

Cited articles

AASHTO – American Association of State Highway and Transportation Officials: AASHTO Standard Specifications for Transportation Materials and Methods of Sampling and Testing (Part 2A – Tests), 29th Edn., AASHTO, Washington, D.C., T11-1, T27-1, T267-1, 2009.
Arenson, L., Colgan, W., and Marshall, H. P.: Physical, thermal and mechanical properties of snow, ice and permafrost, in: Snow and Ice-Related Hazards, Risks, and Disasters, edited by: Haeberli, W., Whiteman, C., and Shroder, J. F., Elsevier Science, Saint Louis, 35–75, 2015.
ASGDC – Alaska State Geo-Spatial Data Clearinghouse: Geo-spatial Data, http://www.asgdc.state.ak.us/ (last access: 9 December 2015), 2014.
ASPRS – American Society of Photogrammetry and Remote Sensing: New standard for new era: overview of the 2015 ASPRS positional accuracy standards for digital geospatial data, http://www.asprs.org/a/society/committees/standards/PERS_March2015_Highlight.pdf (last access: 27 January 2016), 2015.
ASTM: D2216 Standard Test Methods for Laboratory Determination of Water (Moisture) Content of Soil and Rock by Mass, ASTM International, West Conshohocken, 1990.
Download
Short summary
Frozen debris lobes (FDLs) are slow-moving landslides in permafrost. Several FDLs are located adjacent to the Dalton Highway in Alaska's Brooks Range, and may pose a risk to adjacent infrastructure as their rates of movement increase. Through a comprehensive overview of eight FDLs, we found that FDL movement is asynchronous, surface features suggest that increased movement rates correlate to general instability, and the closest FDL will reach the current Dalton Highway alignment by 2023.