Meeting:Abstract 2011 CSDMS meeting-022
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Elchin Jafarov choose to not submit an abstract for this conference.
[[Image:|300px|right|link=File:]]An increasing amount of ground temperature data from permafrost observation stations in Alaska provides a valuable dataset for calibration and simulation of permafrost thermal state dynamics. Snow is one of the major factors affecting ground temperature distribution. Recent permafrost observation stations include snow depth measuring devices. Snow depth and snow conductivity are two required parameters in order to model ground temperature distribution using GIPL transient model.
In this project we applied different calibration techniques to obtain optimal snow conductivity and reconstruct soil thermal properties. The modeling results represent calibrated soil properties for several permafrost observation stations along the Trans-Alaskan highway.
