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<titleInfo><title>Variability of transit time distributions with climate and topography: A modelling approach</title></titleInfo>


<note type="publicationStatus">published</note>


<note type="qualityControlled">yes</note>

<name type="personal">
  <namePart type="given">Federica</namePart>
  <namePart type="family">Remondi</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Martina</namePart>
  <namePart type="family">Botter</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Paolo</namePart>
  <namePart type="family">Burlando</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Simone</namePart>
  <namePart type="family">Fatichi</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6</identifier></name>














<abstract lang="eng">The time that rainfall takes to reach the outlet of a catchment as discharge (transit time) is a fundamental and
integrated measure of catchment hydrological processes and solute transport mechanisms. As such, many efforts
have been dedicated to its understanding and quantification. However, defining and ranking which factors,
internal and external to the system, control the distributions of transit time is still an open challenge. Here, we
develop a two-stage approach to explore climate and topography controls on transit time, using a fully distributed hydrological model coupled with a transport component. Specifically, we apply the model to two
synthetic topographies under five observed climate regimes. With this setup, water fluxes from two years of daily
rainfall events are singularly tracked across the catchments to then derive the distributions of transit time and
fraction of young water for each combination of topography and climate. Results highlight a considerable
variability of transit times in all climates and a pronounced effect of topography within a given climate. They
further reveal that for wet climates it is possible to define a curve describing water transit time as a function of
cumulative discharge that only depends on topographic properties. On the contrary, in dry climates the variability of transit time and young water fraction is much larger and not amenable to a simple summary. Despite
simplifications, quantitative model-based inferences of transit time distributions are useful to better understand
how climate and topography affect catchment functioning.</abstract>

<originInfo><publisher>Elsevier</publisher><dateIssued encoding="w3cdtf">2019</dateIssued>
</originInfo>
<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
</language>

<subject><topic>Transit time distributions</topic><topic>Young water</topic><topic>Climate</topic><topic>Topography</topic><topic>Distributed hydrological modelling</topic>
</subject>


<relatedItem type="host"><titleInfo><title>Journal of Hydrology</title></titleInfo>
  <identifier type="issn">0022-1694</identifier>
  <identifier type="eIssn">1879-2707</identifier><identifier type="doi">10.1016/j.jhydrol.2018.11.011</identifier>
<part><detail type="volume"><number>569</number></detail><extent unit="pages">37-50</extent>
</part>
</relatedItem>

<note type="extern">yes</note>
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<bibliographicCitation>
<ieee>F. Remondi, M. Botter, P. Burlando, and S. Fatichi, “Variability of transit time distributions with climate and topography: A modelling approach,” &lt;i&gt;Journal of Hydrology&lt;/i&gt;, vol. 569. Elsevier, pp. 37–50, 2019.</ieee>
<ama>Remondi F, Botter M, Burlando P, Fatichi S. Variability of transit time distributions with climate and topography: A modelling approach. &lt;i&gt;Journal of Hydrology&lt;/i&gt;. 2019;569:37-50. doi:&lt;a href=&quot;https://doi.org/10.1016/j.jhydrol.2018.11.011&quot;&gt;10.1016/j.jhydrol.2018.11.011&lt;/a&gt;</ama>
<chicago>Remondi, Federica, Martina Botter, Paolo Burlando, and Simone Fatichi. “Variability of Transit Time Distributions with Climate and Topography: A Modelling Approach.” &lt;i&gt;Journal of Hydrology&lt;/i&gt;. Elsevier, 2019. &lt;a href=&quot;https://doi.org/10.1016/j.jhydrol.2018.11.011&quot;&gt;https://doi.org/10.1016/j.jhydrol.2018.11.011&lt;/a&gt;.</chicago>
<apa>Remondi, F., Botter, M., Burlando, P., &amp;#38; Fatichi, S. (2019). Variability of transit time distributions with climate and topography: A modelling approach. &lt;i&gt;Journal of Hydrology&lt;/i&gt;. Elsevier. &lt;a href=&quot;https://doi.org/10.1016/j.jhydrol.2018.11.011&quot;&gt;https://doi.org/10.1016/j.jhydrol.2018.11.011&lt;/a&gt;</apa>
<short>F. Remondi, M. Botter, P. Burlando, S. Fatichi, Journal of Hydrology 569 (2019) 37–50.</short>
<ista>Remondi F, Botter M, Burlando P, Fatichi S. 2019. Variability of transit time distributions with climate and topography: A modelling approach. Journal of Hydrology. 569, 37–50.</ista>
<mla>Remondi, Federica, et al. “Variability of Transit Time Distributions with Climate and Topography: A Modelling Approach.” &lt;i&gt;Journal of Hydrology&lt;/i&gt;, vol. 569, Elsevier, 2019, pp. 37–50, doi:&lt;a href=&quot;https://doi.org/10.1016/j.jhydrol.2018.11.011&quot;&gt;10.1016/j.jhydrol.2018.11.011&lt;/a&gt;.</mla>
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