Identifying Dominant Processes in Time and Space : Time-Varying Spatial Sensitivity Analysis for a Grid-Based Nitrate Model
| dc.contributor.author | Wu, Songjun | |
| dc.contributor.author | Tetzlaff, Doerthe | |
| dc.contributor.author | Yang, Xiaoqiang | |
| dc.contributor.author | Soulsby, Chris | |
| dc.contributor.institution | University of Aberdeen.Geography & Environment | en |
| dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
| dc.contributor.institution | University of Aberdeen.Northern Rivers Institute (NRI) | en |
| dc.date.accessioned | 2023-02-22T16:44:01Z | |
| dc.date.available | 2023-02-22T16:44:01Z | |
| dc.date.issued | 2022-08-04 | |
| dc.description | Funding 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.description.status | Peer reviewed | en |
| dc.format.extent | 23 | |
| dc.format.extent | 3844269 | |
| dc.identifier | 221982917 | |
| dc.identifier | b178b96c-abc0-4559-a58c-06e086f8765f | |
| dc.identifier | 85136977723 | |
| dc.identifier.citation | Wu, 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/10.1029/2021WR031149 | en |
| dc.identifier.doi | 10.1029/2021WR031149 | |
| dc.identifier.iss | 8 | en |
| dc.identifier.issn | 0043-1397 | |
| dc.identifier.uri | https://hdl.handle.net/2164/20139 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85136977723&partnerID=8YFLogxK | en |
| dc.identifier.vol | 58 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Water Resources Research | en |
| dc.subject | SDG 15 - Life on Land | en |
| dc.subject | distributed nitrate modeling | en |
| dc.subject | spatial time-varying sensitivity analysis | en |
| dc.subject | TC Hydraulic engineering. Ocean engineering | en |
| dc.subject | Water Science and Technology | en |
| dc.subject | Other | en |
| dc.subject | RPG 2018 375 | en |
| dc.subject | Supplementary Information | en |
| dc.subject.lcc | TC | en |
| dc.title | Identifying Dominant Processes in Time and Space : Time-Varying Spatial Sensitivity Analysis for a Grid-Based Nitrate Model | en |
| dc.type | Journal article | en |
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