<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>Beniston, Martin</dc:creator>
  <dc:creator>Keller, Fransiska</dc:creator>
  <dc:creator>Goyette, Stéphane</dc:creator>
  <dc:date>2003</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">In many instances, snow cover and duration are a major controlling factor on a range  of environmental systems in mountain regions. When assessing the impacts of  climatic change on mountain ecosystems and river basins whose origin lie in the Alps,  one of the key controls on such systems will reside in changes in snow amount and  duration. At present, regional climate models or statistical downscaling techniques,  which are the principal methods applied to the derivation of climatic variables in a  future, changing climate, do not provide adequate information at the scales required  for investigations in which snow is playing a major role. A study has thus been  undertaken on the behavior of snow in the Swiss Alps, in particular the duration of the  seasonal snow-pack, on the basis of observational data from a number of Swiss  climatological stations. It is seen that there is a distinct link between snow-cover  duration and height (i.e., temperature), and that this link has a specific "signature"  according to the type of winter. Milder winters are associated with higher precipitation  levels than colder winters, but with more solid precipitation at elevations exceeding  1,700-2,000 m above sea-level, and more liquid precipitation below. These results can  be combined within a single diagram, linking winter minimum temperature, winter  precipitation, and snow-cover duration. The resulting contour surfaces can then be  used to assess the manner in which the length of the snow-season may change  according to specified shifts in temperature and precipitation. While the technique is  clearly empirical, it can be combined with regional climate model information to  provide a useful estimate of the length of the snow season with snow cover, for  various climate-impacts studies.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/299711</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/299711/files/1_beniston_sps.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s00704-002-0709-1</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Theoretical and Applied Climatology. - 2003, vol. 74, no. 1-2, p. 19-31</dc:source>
  <dc:subject>info:eu-repo/classification/udc/91</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Snow pack in the Swiss Alps under changing climatic conditions: an empirical approach for climate impacts studies</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
