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@INPROCEEDINGS{Mustafa:1008817,
      author       = {Mustafa, Syed M. T. and Ala-Aho, Pertti and Marttila, Hannu
                      and Huysmans, Marijke and Comte, Jean-Christophe and
                      Shamsudduha, Mohammad and Ghysels, Gert and Schilling,
                      Oliver S. and Hoffmann, Richard and Rossi, Pekka M. and
                      Avellan, Tamara and Haghighi, Ali Torabi and Peeters, Luk
                      and Pulido-Velazquez, Manuel and Larocque, Marie and Loon,
                      Anne Van and Ferré, Ty Paul Andrew and Brunner, Philip and
                      Hendricks-Franssen, Harrie-Jan and Klöve, Björn},
      title        = {{M}aking water models more inclusive and interdisciplinary
                      to underpin sustainable development},
      reportid     = {FZJ-2023-02489},
      year         = {2023},
      abstract     = {Reliable predictions of water systems’ response to
                      external pressures and ongoing changes arehighly important
                      to ensure informed decision-making to support sustainable
                      water resourcesmanagement for human use and the functioning
                      of healthy ecosystems. Recent strongdevelopment of numerical
                      models offers a potential to understand and forecast water
                      systemsunder anthropogenic and climatic influences to
                      provide information for decision-making,
                      processunderstanding of the ‘unseen’ part of the water
                      cycle and hazard risk analysis. However, thereliability of
                      numerical model predictions is strongly influenced by
                      various sources ofuncertainties, data qualities and
                      assumptions, and often lacks stakeholders' point-of-view. A
                      new,improved approach is needed and in this paper, we
                      present six basic principles to improve thereliability and
                      accuracy of numerical water model predictions considering
                      explicitly stakeholders'needs and, thereby, better serving
                      the society. Six highlighted principles are: (i) clearly
                      defining theobjectives and the purpose of the model,
                      sustaining them during the entire modelling process;
                      (ii)incorporating expert and local community knowledge
                      through stakeholders' feedback; (iii)implementing a
                      multi-model approach in which a range of conceptualizations
                      are explored ; (iv)considering and representing the
                      uncertainties arising from model inputs, parameters,
                      conceptualmodel structure and measurement/information error;
                      (v) translating the results to concrete andunderstandable
                      strategies that policymakers can use for their informed
                      decision-making; and (vi)long term capacity building and
                      monitoring data collection to reduce knowledge gaps, test
                      andimprove predictions. We argue that implementing these six
                      principles reduces uncertainties,improves the predictive
                      capacity of the numerical water models, and ensures informed
                      decision-making to support sustainable water resources
                      management and thereby serve society better.},
      month         = {Apr},
      date          = {2023-04-23},
      organization  = {EGU2023, Vienna (Germany), 23 Apr 2023
                       - 28 Apr 2023},
      subtyp        = {After Call},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / WATERAGRI - WATER RETENTION AND NUTRIENT
                      RECYCLING IN SOILS AND STREAMS FOR IMPROVED AGRICULTURAL
                      PRODUCTION (858375)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(EU-Grant)858375},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.5194/egusphere-egu23-16122},
      url          = {https://juser.fz-juelich.de/record/1008817},
}