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      <journal>
        <journal_metadata language="en" reference_distribution_opts="any">
          <full_title>Earth Surface Dynamics</full_title>
          <abbrev_title>Earth Surf. Dynam.</abbrev_title>
          <issn media_type="electronic">2196-632X</issn>
        </journal_metadata>
        <journal_issue>
          <publication_date media_type="online">
            <year>2017</year>
          </publication_date>
          <journal_volume>
            <volume>5</volume>
          </journal_volume>
          <issue>1</issue>
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        <journal_article publication_type="full_text">
          <titles>
            <title>Accurate simulation of transient landscape evolution by eliminating numerical diffusion: the TTLEM 1.0 model</title>
          </titles>
          <contributors>
            <person_name sequence="first" contributor_role="author">
              <given_name>Benjamin</given_name>
              <surname>Campforts</surname>
              <ORCID>https://orcid.org/0000-0001-5699-6714</ORCID>
            </person_name>
            <person_name sequence="additional" contributor_role="author">
              <given_name>Wolfgang</given_name>
              <surname>Schwanghart</surname>
              <ORCID>https://orcid.org/0000-0001-6907-6474</ORCID>
            </person_name>
            <person_name sequence="additional" contributor_role="author">
              <given_name>Gerard</given_name>
              <surname>Govers</surname>
              <ORCID>https://orcid.org/0000-0001-9884-4778</ORCID>
            </person_name>
          </contributors>
          <abstract>
            <p><![CDATA[Abstract. Landscape evolution models (LEMs) allow the study of earth surface responses to changing climatic and tectonic forcings. While much effort has been devoted to the development of LEMs that simulate a wide range of processes, the numerical accuracy of these models has received less attention. Most LEMs use first-order accurate numerical methods that suffer from substantial numerical diffusion. Numerical diffusion particularly affects the solution of the advection equation and thus the simulation of retreating landforms such as cliffs and river knickpoints. This has potential consequences for the integrated response of the simulated landscape. Here we test a higher-order flux-limiting finite volume method that is total variation diminishing (TVD-FVM) to solve the partial differential equations of river incision and tectonic displacement. We show that using the TVD-FVM to simulate river incision significantly influences the evolution of simulated landscapes and the spatial and temporal variability of catchment-wide erosion rates. Furthermore, a two-dimensional TVD-FVM accurately simulates the evolution of landscapes affected by lateral tectonic displacement, a process whose simulation was hitherto largely limited to LEMs with flexible spatial discretization. We implement the scheme in TTLEM (TopoToolbox Landscape Evolution Model), a spatially explicit, raster-based LEM for the study of fluvially eroding landscapes in TopoToolbox 2.]]></p>
          </abstract>
          <publication_date media_type="online">
            <month>01</month>
            <day>18</day>
            <year>2017</year>
          </publication_date>
          <pages>
            <first_page>47</first_page>
            <last_page>66</last_page>
          </pages>
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              <assertion name="funder_name">
                Belgian Federal Science Policy Office
                <assertion name="funder_identifier">http://dx.doi.org/10.13039/501100002749</assertion>
              </assertion>
              <assertion name="award_number">P7/24: SOGLO</assertion>
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