<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>Kenner, Robert</dc:creator>
  <dc:creator>Noetzli, Jeannette</dc:creator>
  <dc:creator>Hoelzle, Martin</dc:creator>
  <dc:creator>Raetzo, Hugo</dc:creator>
  <dc:creator>Phillips, Marcia</dc:creator>
  <dc:date>2019-07-15</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Mountain permafrost is invisible, and mapping it is still a challenge. Available  permafrost distribution maps often overestimate the permafrost extent and include  large permafrost-free areas in their permafrost zonation. In addition, the  representation of the lower belt of permafrost consisting of ice-rich features such as  rock glaciers or ice-rich talus slopes can be challenging. These problems are caused  by considerable differences in genesis and thermal characteristics between ice-poor  permafrost, occurring for example in rock walls, and ice-rich permafrost. While ice- poor permafrost shows a strong correlation of ground temperature with elevation and  potential incoming solar radiation, ice-rich ground does not show such a correlation.  Instead, the distribution of ice-rich ground is controlled by gravitational processes  such as the relocation of ground ice by permafrost creep or by ground ice genesis  from avalanche deposits or glacierets covered with talus. We therefore developed a mapping method which distinguishes between ice-poor and  ice-rich permafrost and tested it for the entire Swiss Alps. For ice-poor ground we  found a linear regression formula based on elevation and potential incoming solar  radiation which predicts borehole ground temperatures at multiple depths with an  accuracy higher than 0.6 ∘C. The zone of ice-rich permafrost was defined by  modelling the deposition zones of alpine mass wasting processes. This dual approach  allows the cartographic representation of permafrost-free belts, which are bounded  above and below by permafrost. This enables a high quality of permafrost modelling,  as is shown by the validation of our map. The dominating influence of the two rather  simple connected factors, elevation (as a proxy for mean annual air temperature) and  solar radiation, on the distribution of ice-poor permafrost is significant for permafrost  modelling in different climate conditions and regions. Indicating temperatures of ice- poor permafrost and distinguishing between ice-poor and ice-rich permafrost on a  national permafrost map provides new information for users.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://sonar.ch/global/documents/308102</dc:identifier>
  <dc:identifier>https://sonar.ch/documents/308102/files/hoe_dir.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-13-1925-2019</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>The Cryosphere. - 2019, vol. 13, no. 7, p. 1925–1941</dc:source>
  <dc:subject>info:eu-repo/classification/udc/556</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Distinguishing ice-rich and ice-poor permafrost to map ground temperatures and ground ice occurrence in the Swiss Alps</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
