<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>Gugerli, Rebecca</dc:creator>
  <dc:creator>Salzmann, Nadine</dc:creator>
  <dc:creator>Huss, Matthias</dc:creator>
  <dc:creator>Desilets, Darin</dc:creator>
  <dc:date>2019-12-20</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Snow water equivalent (SWE) measurements of seasonal snowpack are crucial in  many research fields. Yet accurate measurements at a high temporal resolution are  difficult to obtain in high mountain regions. With a cosmic ray sensor (CRS), SWE can  be inferred from neutron counts. We present the analyses of temporally continuous  SWE measurements by a CRS on an alpine glacier in Switzerland (Glacier de la  Plaine Morte) over two winter seasons (2016/17 and 2017/18), which differed  markedly in the amount and timing of snow accumulation. By combining SWE with  snow depth measurements, we calculate the daily mean density of the snowpack.  Compared to manual field observations from snow pits, the autonomous  measurements overestimate SWE by +2 % ± 13 %. Snow depth and the bulk snow  density deviate from the manual measurements by ±6 % and ±9 %, respectively. The  CRS measured with high reliability over two winter seasons and is thus considered a  promising method to observe SWE at remote alpine sites. We use the daily  observations to classify winter season days into those dominated by accumulation  (solid precipitation, snow drift), ablation (snow drift, snowmelt) or snow densification.  For each of these process-dominated days the prevailing meteorological conditions  are distinct. The continuous SWE measurements were also used to define a scaling  factor for precipitation amounts from nearby meteorological stations. With this  analysis, we show that a best-possible constant scaling factor results in cumulative  precipitation amounts that differ by a mean absolute error of less than 80 mm w.e.  from snow accumulation at this site.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/308363</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/308363/files/hus_cas.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-13-3413-2019</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. 12, p. 3413–3434</dc:source>
  <dc:subject>info:eu-repo/classification/udc/556</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Continuous and autonomous snow water equivalent measurements by a cosmic ray sensor on an alpine glacier</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
