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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub"></issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/egusphere-2024-965</article-id>
<title-group>
<article-title>A scalable and modular reservoir implementation for large scale integrated hydrologic simulations</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>West</surname>
<given-names>Benjamin D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maxwell</surname>
<given-names>Reed M.</given-names>
<ext-link>https://orcid.org/0000-0003-3639-8076</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Condon</surname>
<given-names>Laura E.</given-names>
<ext-link>https://orcid.org/0000-0002-1364-4441</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Hydrology and Atmospherics Sciences, The University of Arizona, Tucson, AZ 85721, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544 USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>04</month>
<year>2024</year>
</pub-date>
<volume>2024</volume>
<fpage>1</fpage>
<lpage>27</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2024 Benjamin D. West et al.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-965/">This article is available from https://egusphere.copernicus.org/preprints/2024/egusphere-2024-965/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-965/egusphere-2024-965.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2024/egusphere-2024-965/egusphere-2024-965.pdf</self-uri>
<abstract>
<p>Recent advancements in integrated hydrologic modeling have enabled increasingly high-fidelity models of the complete terrestrial hydrologic cycle. These advances are critical for our ability to understand and predict watershed dynamics especially in a changing climate. However, many of the most physically rigorous models have been designed to focus on natural processes and do not incorporate the effect of human built structures such as dams. By not accounting for these impacts, our models are limited both in their accuracy and in the scope of questions they are able to investigate. Here we present the first implementation of dams and reservoirs in ParFlow-an integrated hydrologic model. Through a series of idealized and real world test cases we demonstrate that our implementation (1) functions as intended, (2) maintains important qualities such as mass conservation, (3) works in a real domain and (4) is computationally efficient and can be scaled to large domains with thousands of reservoirs. Our results will improve the accuracy of current ParFlow models and enable us to ask new questions regarding conjunctive management of ground and surface water in systems with reservoirs.</p>
</abstract>
<counts><page-count count="27"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>U.S. Geological Survey</funding-source>
<award-id>1835794</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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<back>
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</article>