<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Marmy, Antoine</dc:creator>
  <dc:creator>Rajczak, Jan</dc:creator>
  <dc:creator>Delaloye, Reynald</dc:creator>
  <dc:creator>Hilbich, Christin</dc:creator>
  <dc:creator>Hoelzle, Martin</dc:creator>
  <dc:creator>Kotlarski, Sven</dc:creator>
  <dc:creator>Lambiel, Christophe</dc:creator>
  <dc:creator>Noetzli, Jeannette</dc:creator>
  <dc:creator>Phillips, Marcia</dc:creator>
  <dc:creator>Salzmann, Nadine</dc:creator>
  <dc:creator>Staub, Benno</dc:creator>
  <dc:creator>Hauck, Christian</dc:creator>
  <dc:date>2016-11-15</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Permafrost is a widespread phenomenon in mountainous regions of the world such as  the European Alps. Many important topics such as the future evolution of permafrost  related to climate change and the detection of permafrost related to potential natural  hazards sites are of major concern to our society. Numerical permafrost models are  the only tools which allow for the projection of the future evolution of permafrost. Due to  the complexity of the processes involved and the heterogeneity of Alpine terrain,  models must be carefully calibrated, and results should be compared with  observations at the site (borehole) scale. However, for large-scale applications, a site- specific model calibration for a multitude of grid points would be very time-consuming.  To tackle this issue, this study presents a semi-automated calibration method using the  Generalized Likelihood Uncertainty Estimation (GLUE) as implemented in a 1-D soil  model (CoupModel) and applies it to six permafrost sites in the Swiss Alps. We show  that this semi-automated calibration method is able to accurately reproduce the main  thermal condition characteristics with some limitations at sites with unique conditions  such as 3-D air or water circulation, which have to be calibrated manually. The  calibration obtained was used for global and regional climate model (GCM/RCM)-based  long-term climate projections under the A1B climate scenario (EU-ENSEMBLES  project) specifically downscaled at each borehole site. The projection shows general  permafrost degradation with thawing at 10 m, even partially reaching 20 m depth by the  end of the century, but with different timing among the sites and with partly  considerable uncertainties due to the spread of the applied climatic forcing.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/305366</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/305366/files/hau_sac.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-2693-2016</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>The Cryosphere. - 2016, vol. 10, no. 6, p. 2693–2719</dc:source>
  <dc:subject>info:eu-repo/classification/udc/556</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Semi-automated calibration method for modelling of mountain permafrost evolution in Switzerland</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
