<?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>Michael N. Fienen</dc:contributor>
  <dc:contributor>Howard W. Reeves</dc:contributor>
  <dc:creator>Andrew T. Leaf</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description>&lt;div class="abstract-group"&gt;&lt;div class="article-section__content en main"&gt;&lt;p&gt;Groundwater models have evolved to encompass more aspects of the water cycle, but the incorporation of realistic boundary conditions representing surface water remains time-consuming and error-prone. We present two Python packages that robustly automate this process using readily available hydrography data as the primary input. SFRmaker creates input for the MODFLOW SFR package, while Linesink-maker creates linesink string input for the GFLOW analytic element program. These programs can reduce weeks or even months of manual effort to a few minutes of execution time, and carry the added advantages of reduced potential for error, improved reproducibility and facilitation of step-wise modeling through reduced dependency on a particular conceptual model or discretization. Two real-world examples at the county to multi-state scales are presented.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1111/gwat.13095</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>The National Groundwater Association</dc:publisher>
  <dc:title>SFRmaker and Linesink-Maker: Rapid construction of streamflow routing networks from hydrography data</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>