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Improved Numerical Modeling of Permafrost Dynamics in Alaska Using a High Spatial Resolution Dataset

Improved Numerical Modeling of Permafrost Dynamics in Alaska Using a High Spatial Resolution Dataset
Type: 
Poster
Elchin E. Jafarov1, Sergei Marchenko2, Nancy Fresco3, Vladimir Romanovsky4, Scott Rupp5
1Geophysics, University of Alaska Fairbanks, PO BOX 750686, Fairbanks, AK, 99775, USA, eejafarov [at] alaska [dot] edu
2Geophysical Institute, Fairbanks, AK, 99775, USA, ssmarchenko [at] alaska [dot] edu
3Natural Resources & Agricultural Sciences, School of Scenarios Network Planning, Fairbanks, AK, USA, nlfresco [at] alaska [dot] edu
4Geophysical Institute, Fairbanks, AK, USA, veromanovsky [at] alaska [dot] edu
5Natural Resources & Agricultural Sciences, School of Scenarios Network Planning, Fairbanks, AK, USA, scott [dot] rupp [at] uaf [dot] edu

Climate projections for the 21st century indicate that there could be a pronounced warming and degradation of permafrost in the arctic and sub-arctic regions. Climate warming is likely to cause permafrost thawing with subsequent effects on surface albedo, soil organic matter degradation, hydrology and greenhouse gas emissions. In order to assess possible changes in the permafrost thermal state and the active layer thickness, the GIPL2-MPI parallel transient model was implemented for the entire Alaskan permafrost domain. For this study we used an input data set with grid boxes size 2km by 2km. Input parameters to the model are spatial datasets of mean monthly air temperature and precipitation, prescribed vegetation and thermal properties of the multilayered soil column, and water content, which are specific for each vegetation and soil classes and geographical location. As a climate forcing we used Scenarios Network for Alaska Planning (SNAP) data set (http://www.snap.uaf.edu/). The five IPCC Global Circulation Models that performed the best in Alaska: ECHAM5, GFDL21, MIROC, HAD and CCCMA were assessed according to how closely model outputs for the recent past matched climate station data for temperature, precipitation, and sea level pressure. The outputs from these five models have been scaled down to 2 kilometers resolution using the PRISM model (http://www.prism.oregonstate.edu/), which takes into account elevation, slope and aspect. All derived values are representing a single month within a given year for the five models composite, A1B emission scenario. We performed more detailed analysis by calibrating shallow boreholes measurements with model outputs for available time periods. We have also corrected initial temperature distribution profiles for the better match with observed data. We compared ground temperatures at the depths of 2m, 5m and 20m for twelve decades from 1980–2100. The results of simulation show that by the end of the current century, the widespread permafrost degradation in Alaska could begin within the vast area southward from the Brooks Range except for the high altitudes of the Alaska Range and Wrangell Mountains.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.