<?xml version='1.0' encoding='utf-8'?>
<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:contributor>Joseph Luchette</dc:contributor>
  <dc:contributor>Willem A. Schreuder</dc:contributor>
  <dc:contributor>James O. Rumbaugh</dc:contributor>
  <dc:contributor>John Doherty</dc:contributor>
  <dc:contributor>Matthew J. Tonkin</dc:contributor>
  <dc:contributor>Douglas B. Rumbaugh</dc:contributor>
  <dc:creator>Randall J. Hunt</dc:creator>
  <dc:date>2010</dc:date>
  <dc:description>Groundwater models can be improved by introduction of additional parameter flexibility and simultaneous use of soft-knowledge. However, these sophisticated approaches have high computational requirements. Cloud computing provides unprecedented access to computing power via the Internet to facilitate the use of these techniques. A modeler can create, launch, and terminate “virtual” computers as needed, paying by the hour, and save machine images for future use. Such cost-effective and flexible computing power empowers groundwater modelers to routinely perform model calibration and uncertainty analysis in ways not previously possible.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1111/j.1745-6584.2010.00699.x</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley Online Library</dc:publisher>
  <dc:title>Using a cloud to replenish parched groundwater modeling efforts</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>