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23:38:24, 4 May 2023 +
This work was supported by the National Science Foundation under collaborative grants 1831623, 2026951, 2140831, 2104102, and 2148762. +
Jupyter Notebook +
1.5 hrs +
Permafrost covers nearly 85% of Alaska. Th … Permafrost covers nearly 85% of Alaska. The map shows the permafrost distribution in this area (Picture source https://permafrost.gi.alaska.edu/sites/default/files/AlaskaPermafrostMap_Front_Dec2008_Jorgenson_etal_2008.pdf). A warming climate brought higher temperatures which may cause some permafrost to thaw. This can lead to geologic hazards such as landslides, ground subsidence, erosion and other severe surface distortions.</br></br></br>In this lab, we will use the Kudryavtsev (Ku) model (a pymt component) to calculate the active layer thickness for Eight Mile Lake in Alaska. Active layer is the top layer of the permafrost where the annual maximum temperature reaches 0°C and the temperature shift over diurnal and seasonal cycles. Then we will use the active layer thickness as the input for a Landlab component (DepthDependentDiffuser) to simulate the hillslope diffusion process. The ERA5 and Topography Data Components are used to prepare the inputs for the Ku model.ed to prepare the inputs for the Ku model. +
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May 4, 2023 +
Permafrost is defined as any material (roc … Permafrost is defined as any material (rock or soil) that remains below 0°C for two or more consecutive years. This lab demonstrates how to use several CSDMS data components (https://csdms.colorado.edu/wiki/DataComponents) to download topography, snow and temperature data and couple them with the Model Components from Landlab and Pymt to calculate the permafrost active layer thickness and simulate the hillslope diffusion process for a study area in Alaska.fusion process for a study area in Alaska. +
A demonstration of how to use the Data Components, Landlab, and Pymt Model Components to simulate the permafrost active layer thickness and the hillslope diffusion process. +
Kudryavtsev Model +
This lab can be run on the lab (for educat … This lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.</br></br></br>If you don't already have a JupyterHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.p Desk: https://csdms.github.io/help-desk. +
If run locally, please follow the instruction at https://github.com/gantian127/permafrost_usecase. +
Image:Permafrost.png +
Anisimov, O. A., Shiklomanov, N. I., & Nelson, F. E. (1997). Global warming and active-layer thickness: results from transient general circulation models. Global and Planetary Change, 15(3-4), 61-77. https://doi.org/10.1016/S0921-8181(97)00009-X +, Garnello, A., Marchenko, S., Nicolsky, D., … Garnello, A., Marchenko, S., Nicolsky, D., Romanovsky, V., Ledman, J., Celis, G., Schädel, C., Luo, Y., & Schuur, E. A. G. (2021). Projecting Permafrost Thaw of Sub-Arctic Tundra With a Thermodynamic Model Calibrated to Site Measurements. Journal of Geophysical Research: Biogeosciences, 126(6), e2020JG006218. https://doi.org/10.1029/2020JG006218JG006218. https://doi.org/10.1029/2020JG006218 +, Johnstone, S., Hilley, G. (2015). Lithologic control on the form of soil-mantled hillslopes, Geology 43(1), 83-86. https://doi.org/10.1130/G36052.1 +, Kudryavtsev, V. A., Garagulya, L. S., Kondrat'yeva, K. A., Melamed, V. G. (1974). Fundamentals of frost forecasting in geological engineering investigations Nauka, Moscow, p. 431. https://apps.dtic.mil/sti/pdfs/ADA039677.pdf +, Zhang, T. (2005). Influence of the seasonal snow cover on the ground thermal regime: An overview. Reviews of Geophysics, 43(4). https://doi.org/10.1029/2004RG000157 + and Gan, T., Tucker, G.E., Hutton, E.W.H., Pip … Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185. https://doi.org/10.5194/gmd-17-2165-2024. https://doi.org/10.5194/gmd-17-2165-2024 +
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16:53:14, 5 May 2025 +
