Wu, SongjunTetzlaff, DoertheYang, XiaoqiangSmith, AaronSoulsby, Chris2023-12-142023-12-142023-11Wu, S, Tetzlaff, D, Yang, X, Smith, A & Soulsby, C 2023, 'Integrating Tracers and Soft Data Into Multi-Criteria Calibration : Implications From Distributed Modeling in a Riparian Wetland', Water Resources Research, vol. 59, no. 11, e2023WR035509. https://doi.org/10.1029/2023WR0355090043-1397https://hdl.handle.net/2164/22419Funding Information: Songjun Wu is funded by the Chinese Scholarship Council (CSC). This research has been supported by the BMBF (funding code 033W034A), which supported the IGB stable isotope Laboratory. Contributions from Soulsby are supported by the Leverhulme Trust through the ISO‐LAND project (Grant 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 deeply thank Jonas Freymüller and David Dubbert for the help on field work and laboratory analysis of the water isotopes. Hauke Dämpfling is acknowledged for conducting monthly UAV flights. We also thank Ke Chen for discussion on the paper. The valuable comments from associate editor and three anonymous reviewers are highly appreciated. Publisher Copyright: © 2023. The Authors.4762841engdistributed modelingmulti-criteria calibrationsoft datatracerswetlandGE Environmental SciencesWater Science and TechnologyGEJournal article10.1029/2023WR035509http://www.scopus.com/inward/record.url?scp=85177216751&partnerID=8YFLogxK5911