<?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>Katherine Skalak</dc:contributor>
  <dc:contributor>David P. Lesmes</dc:contributor>
  <dc:creator>Mark P. Miller</dc:creator>
  <dc:date>2022</dc:date>
  <dc:description>The U.S. Geological Survey Integrated Water Prediction science program focuses on the development of advanced models for forecasting water use and other components of the water cycle along with water quality attributes such as temperature, water constituents, and ecological conditions. The program also is developing the cyberinfrastructure required to implement national and local-scale models to be used by water resource managers over the decades ahead.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3133/fs20223028</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>U.S. Geological Survey</dc:publisher>
  <dc:title>Water priorities for the Nation—U.S. Geological Survey Integrated Water Prediction science program</dc:title>
  <dc:type>reports</dc:type>
</oai_dc:dc>