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dc.contributor.authorWu, Songjun
dc.contributor.authorTetzlaff, Doerthe
dc.contributor.authorYang, Xiaoqiang
dc.contributor.authorSoulsby, Chris
dc.date.accessioned2024-02-07T08:39:24Z
dc.date.available2024-02-07T08:39:24Z
dc.date.issued2022-08-04
dc.identifier221982917
dc.identifierb178b96c-abc0-4559-a58c-06e086f8765f
dc.identifier85136977723
dc.identifier.citationWu , S , Tetzlaff , D , Yang , X & Soulsby , C 2022 , ' Identifying Dominant Processes in Time and Space : Time-Varying Spatial Sensitivity Analysis for a Grid-Based Nitrate Model ' , Water Resources Research , vol. 58 , no. 8 , e2021WR031149 . https://doi.org/10.1029/2021WR031149en
dc.identifier.issn0043-1397
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/20139
dc.descriptionFunding Information: Songjun Wu is funded by the Chinese Scholarship Council (CSC). Contributions from Chris Soulsby are supported by the Leverhulme Trust through the ISO‐LAND project (Grant Nos. RPG 2018 375). Tetzlaff's contribution was partly funded through the Einstein Research Unit “Climate and Water under Change” from the Einstein Foundation Berlin and Berlin University Alliance. We thank the German Weather Service (DWD) for providing meteorological data set. The staff of the IGB chemical analytics and biogeochemistry lab are thanked for compiling the long‐term water quality data set in DMC. Open Access funding enabled and organized by Projekt DEAL. Chinese Scholarship Council Leverhulme Trust. Grant Number: RPG 2018 375 Einstein Stiftung Berlin Berlin University Alliance Publisher Copyright: © 2022. The Authors.en
dc.format.extent23
dc.format.extent3844269
dc.language.isoeng
dc.relation.ispartofWater Resources Researchen
dc.subjectSDG 15 - Life on Landen
dc.subjectdistributed nitrate modelingen
dc.subjectspatial time-varying sensitivity analysisen
dc.subjectTC Hydraulic engineering. Ocean engineeringen
dc.subjectWater Science and Technologyen
dc.subjectOtheren
dc.subjectRPG 2018 375en
dc.subjectSupplementary Informationen
dc.subject.lccTCen
dc.titleIdentifying Dominant Processes in Time and Space : Time-Varying Spatial Sensitivity Analysis for a Grid-Based Nitrate Modelen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Northern Rivers Institute (NRI)en
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1029/2021WR031149
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85136977723&partnerID=8YFLogxKen
dc.identifier.vol58en
dc.identifier.iss8en


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