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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-2026-2508</article-id>
<title-group>
<article-title>Technical note: Guidance on setting up Pecube inversions with the neighbourhood algorithm</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bernard</surname>
<given-names>Maxime</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>King</surname>
<given-names>Georgina E.</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>van der Beek</surname>
<given-names>Pieter</given-names>
<ext-link>https://orcid.org/0000-0001-9581-3159</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>Wapenhans</surname>
<given-names>Isabel</given-names>
<ext-link>https://orcid.org/0000-0003-4908-6098</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>Gong</surname>
<given-names>Lingxiao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Robert</surname>
<given-names>Xavier</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institute of Earth Surface Dynamics, Université de Lausanne, Lausanne, Switzerland</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Institut für Geowissenschaften, Universität Potsdam, Karl-Liebknecht-Straße 24–25, D-14476 Potsdam, Golm, Germany</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Institut des Sciences de la Terre (ISTerre), Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, Grenoble, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>22</day>
<month>05</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>24</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Maxime Bernard et al.</copyright-statement>
<copyright-year>2026</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/2026/egusphere-2026-2508/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2508/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2508/egusphere-2026-2508.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2508/egusphere-2026-2508.pdf</self-uri>
<abstract>
<p>Pecube is a three‑dimensional thermal‑kinematic model that enables the prediction of thermochronometry data and the investigation of past tectonic and topographic change, using both forward and inverse modelling approaches. However, the problems addressed by Pecube inversions are typically non‑linear and high‑dimensional, such that multiple models can often reproduce the data equally well. Pecube inversions, which involve the evaluation of large numbers of forward models against observations, are performed using the neighbourhood algorithm (NA), enabling guided exploration of the parameter space. Despite more than a decade of applications, practical guidance on how to configure NA&amp;ndash;Pecube inversions remains limited. Furthermore, the recent development of a user‑friendly interface for Pecube is expected to broaden its user base and further increase the need for clear guidelines on NA configuration. This contribution aims to provide intuition and general guidance for performing NA&amp;ndash;Pecube inversions through a conceptual approach. Although the proposed guidelines remain intentionally broad and do not guarantee optimal performance for user‑specific problems, they are intended to support informed decision‑making and to provide a practical starting point for NA&amp;ndash;Pecube inversions. Users are encouraged to explore and adapt NA tuning parameters to their specific modelling objectives and problem settings.</p>
</abstract>
<counts><page-count count="24"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>European Research Council</funding-source>
<award-id>851614</award-id>
<award-id>834271</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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