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Quantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological model

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dc.contributor.authorGillefalk, Mikael
dc.contributor.authorTetzlaff, Dörthe
dc.contributor.authorHinkelmann, Reinhard
dc.contributor.authorKuhlemann, Lena Marie
dc.contributor.authorSmith, Aaron
dc.contributor.authorMeier, Fred
dc.contributor.authorManeta, Marco P.
dc.contributor.authorSoulsby, Chris
dc.contributor.institutionUniversity of Aberdeen.Northern Rivers Institute (NRI)en
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.date.accessioned2021-08-05T19:49:01Z
dc.date.available2021-08-05T19:49:01Z
dc.date.issued2021-06-29
dc.descriptionFunding Information: Einstein Stiftung Berlin (grant no. EVF-2018-425), the Deutsche Forschungsgemeinschaft (grant no. GRK 2032/2), the Bundesmin-isterium für Bildung und Forschung (grant no. 01LP1602) and the Leverhulme Trust (grant no. RPG-2018-375). This open-access publication was funded by Technische Universität Berlin. Acknowledgements. The authors wish to thank the Einstein Foundation for financing the MOSAIC project, in which this study was performed. Contributions from Chris Soulsby were also funded by the Leverhulme Trust’s ISOLAND project. The German Federal Ministry of Education and Research (BMBF) funded instrumentation of the Urban Climate Observatory (UCO) Berlin under grant 01LP1602 within the framework of Research for Sustainable Development (FONA; https://www.fona.de, last access: 21 June 2021). We also acknowledge support by the German Research Foundation and the Open Access Publication Fund of TU Berlin. The majority of the simulations were performed on the High Performance Computing cluster of TU Berlin. We thank Christian Marx for regular input during the modelling process, Lukas Kleine for help with figures and Ralf Duda for indispensable help with technical issues throughout the modelling process.en
dc.description.statusPeer revieweden
dc.format.extent18
dc.format.extent2861282
dc.identifier198154293
dc.identifierf5956cbc-9360-448f-ab57-165a06f08d66
dc.identifier85108973987
dc.identifier.citationGillefalk, M, Tetzlaff, D, Hinkelmann, R, Kuhlemann, L M, Smith, A, Meier, F, Maneta, M P & Soulsby, C 2021, 'Quantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological model', Hydrology and Earth System Sciences, vol. 25, no. 6, pp. 3635-3652. https://doi.org/10.5194/hess-25-3635-2021en
dc.identifier.doi10.5194/hess-25-3635-2021
dc.identifier.iss6en
dc.identifier.issn1027-5606
dc.identifier.urihttps://hdl.handle.net/2164/16919
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85108973987&partnerID=8YFLogxKen
dc.identifier.vol25en
dc.language.isoeng
dc.relation.ispartofHydrology and Earth System Sciencesen
dc.subjectSDG 6 - Clean Water and Sanitationen
dc.subjectSDG 11 - Sustainable Cities and Communitiesen
dc.subjectSDG 13 - Climate Actionen
dc.subjectSDG 15 - Life on Landen
dc.subjectG Geography (General)en
dc.subjectWater Science and Technologyen
dc.subjectEarth and Planetary Sciences (miscellaneous)en
dc.subjectOtheren
dc.subjectSupplementary Informationen
dc.subjecthttps://doi.org/10.5194/hess-25-3635-2021-supplementen
dc.subjectSupplementary Dataen
dc.subjecthttp://bitbucket.igb-berlin.de:7990/users/ech2o/repos/ech2o_iso/browseen
dc.subject.lccG1en
dc.titleQuantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological modelen
dc.typeJournal articleen

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