<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>Shannon, Sarah</dc:creator>
  <dc:creator>Smith, Robin</dc:creator>
  <dc:creator>Wiltshire, Andy</dc:creator>
  <dc:creator>Payne, Tony</dc:creator>
  <dc:creator>Huss, Matthias</dc:creator>
  <dc:creator>Betts, Richard</dc:creator>
  <dc:creator>Caesar, John</dc:creator>
  <dc:creator>Koutroulis, Aris</dc:creator>
  <dc:creator>Jones, Darren</dc:creator>
  <dc:creator>Harrison, Stephan</dc:creator>
  <dc:date>2019-02-01</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The Paris agreement aims to hold global warming to well below 2 ∘C and to pursue  efforts to limit it to 1.5 ∘C relative to the pre-industrial period. Recent estimates based  on population growth and intended carbon emissions from participant countries  suggest global warming may exceed this ambitious target. Here we present glacier  volume projections for the end of this century, under a range of high-end climate  change scenarios, defined as exceeding +2 ∘C global average warming relative to the  pre-industrial period. Glacier volume is modelled by developing an elevation- dependent mass balance model for the Joint UK Land Environment Simulator  (JULES). To do this, we modify JULES to include glaciated and unglaciated surfaces  that can exist at multiple heights within a single grid box. Present-day mass balance is  calibrated by tuning albedo, wind speed, precipitation, and temperature lapse rates to  obtain the best agreement with observed mass balance profiles. JULES is forced with  an ensemble of six Coupled Model Intercomparison Project Phase 5 (CMIP5) models,  which were downscaled using the high-resolution HadGEM3-A atmosphere-only  global climate model. The CMIP5 models use the RCP8.5 climate change scenario  and were selected on the criteria of passing 2 ∘C global average warming during this  century. The ensemble mean volume loss at the end of the century plus or minus 1  standard deviation is −64±5 % for all glaciers excluding those on the peripheral of the  Antarctic ice sheet. The uncertainty in the multi-model mean is rather small and  caused by the sensitivity of HadGEM3-A to the boundary conditions supplied by the  CMIP5 models. The regions which lose more than 75 % of their initial volume by the  end of the century are Alaska, western Canada and the US, Iceland, Scandinavia, the  Russian Arctic, central Europe, Caucasus, high-mountain Asia, low latitudes, southern  Andes, and New Zealand. The ensemble mean ice loss expressed in sea level  equivalent contribution is 215.2±21.3 mm. The largest contributors to sea level rise are  Alaska (44.6±1.1 mm), Arctic Canada north and south (34.9±3.0 mm), the Russian  Arctic (33.3±4.8 mm), Greenland (20.1±4.4), high-mountain Asia (combined central  Asia, South Asia east and west), (18.0±0.8 mm), southern Andes (14.4±0.1 mm), and  Svalbard (17.0±4.6 mm). Including parametric uncertainty in the calibrated mass  balance parameters gives an upper bound global volume loss of 281.1 mm of sea  level equivalent by the end of the century. Such large ice losses will have inevitable  consequences for sea level rise and for water supply in glacier-fed river systems.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/307551</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/307551/files/hus_ggv.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-13-325-2019</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. 1, p. 325–350</dc:source>
  <dc:subject>info:eu-repo/classification/udc/556</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Global glacier volume projections under high-end climate change scenarios</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
