<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>23699</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>S. 540</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>TU-Verlag</publisherName>
    <publisherPlace>Wien</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2019-03-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">IMEX-ODTLES: A multi-scale and stochastic approach for highly turbulent flows</title>
    <parentTitle language="eng">90th Annual Meeting of the International Association of Applied Mathematics and Mechanics February 18-22, 2019 Vienna, Austria, Abstract book</parentTitle>
    <identifier type="url">https://jahrestagung.gamm-ev.de/images/2019/Photos/GAMM2019_BookofAbstracts.pdf</identifier>
    <identifier type="isbn">978-3-903024-84-7</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>
      <firstName>Juan Ali</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <submitter>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </submitter>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Glawe</lastName>
    </author>
    <author>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </author>
    <author>
      <firstName>Mark Simon</firstName>
      <lastName>Schöps</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
  </doc>
  <doc>
    <id>24961</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>19</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-07</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">IMEX-ODTLES: A multi-scale and stochastic approach for highly turbulent flows</title>
    <abstract language="eng">The stochastic One-Dimensional Turbulence (ODT) model is used in combination with a Large Eddy Simulation (LES) approach in order to illustrate the potential of the fully coupled model (ODTLES) for highly turbulent flows. In this work, we use a new C++ implementation of the ODTLES code in order to analyze the computational performance in a classical incompressible turbulent channel flow problem. The parallelization potential of the model, as well as its physical and numerical consistency are evaluated and compared to Direct Numerical Simulations (DNSs). The numerical results show that the model is capable of reproducing a representative part of the DNS data at a cheaper computational cost. This advantage can be enhanced in the future by the implementation of a straightforward parallelization approach.</abstract>
    <parentTitle language="eng">Proceedings in Applied Mathematics and Mechanics</parentTitle>
    <identifier type="doi">10.1002/pamm.201900433</identifier>
    <identifier type="issn">1617-7061</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">e201900433</enrichment>
    <author>
      <firstName>Juan Ali</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <submitter>
      <firstName>Juan Ali</firstName>
      <lastName>Medina Méndez</lastName>
    </submitter>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Glawe</lastName>
    </author>
    <author>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </author>
    <author>
      <firstName>Mark Simon</firstName>
      <lastName>Schöps</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
  </doc>
  <doc>
    <id>34856</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>162</pageFirst>
    <pageLast>163</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_noref</type>
    <publisherName>Deutsche Strömungsmechanische Arbeitsgemeinschaft, STAB</publisherName>
    <publisherPlace>Regensburg [et al.]</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-12-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards physics-based nowcasting of the instantaneous wind velocity profile using a stochastic modeling approach</title>
    <abstract language="eng">The primary objective of this contribution is to provide an overview of the regime-spanning forward modeling capabilities offered by the stochastic one-dimensional turbulence model. The focus is on the applicability of the model and its validation for neutral and stable atmospheric boundary layer flows as a prerequisite for future applications to challenging atmospheric conditions.</abstract>
    <parentTitle language="deu">STAB Jahresbericht  2024 zum 24. DGLR-Fachsymposium der STAB, 13. - 14. November 2024, Regensburg</parentTitle>
    <identifier type="url">https://bfm.rcbe.de/files/2024/11/2024_STAB-Jahresbericht.pdf</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <author>
      <firstName>Mark Simon</firstName>
      <lastName>Schöps</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Glawe</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>atmospheric boundary layer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>one-dimensional turbulence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>wind energy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>wind shear and veer</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
</export-example>
