Meeting:Abstract 2011 CSDMS meeting-022: Difference between revisions

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CSDMS all hands meeting 2011

Elchin Jafarov choose to not submit an abstract for this conference.

Vladimir Romanovsky, Geophysical Institute, University of Alaska Fairbanks Fairbanks Alaska, USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "CSDMS meeting coauthor country" property.. veromanovsky@alaska.edu

[[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.

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 {{CSDMS meeting abstract title template
 |CSDMS meeting abstract title=Frozen soil thermal properties calibration using the GIPL transient numerical model
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+{{CSDMS meeting authors template
+|CSDMS meeting coauthor first name abstract=Vladimir
+|CSDMS meeting coauthor last name abstract=Romanovsky
+|CSDMS meeting coauthor institute / Organization=Geophysical Institute, University of Alaska Fairbanks
+|CSDMS meeting coauthor town-city=Fairbanks
+|State=Alaska
+|CSDMS meeting coauthor country=USA
+|CSDMS meeting coauthor email address=veromanovsky@alaska.edu
 }}
 {{CSDMS meeting abstract template
 |CSDMS meeting abstract=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.
 }}
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