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A multi-objective approach to select hydrological models and constrain structural uncertainties for climate impact assessments
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  • Danny Saavedra,
  • Pablo Mendoza,
  • Nans Addor,
  • Harold Llauca,
  • Ximena Vargas
Danny Saavedra
Universidad de Chile

Corresponding Author:[email protected]

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Pablo Mendoza
Universidad de Chile
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Nans Addor
University of Exeter
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Harold Llauca
Servicio Nacional de Meteorología de Hidrología del Perú
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Ximena Vargas
Universidad de Chile
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Abstract

The assessment of climate change impacts on water resources and flood risk is typically underpinned by hydrological models calibrated and selected based on observed streamflow records. Yet, changes in climate are rarely accounted for when selecting hydrological models, which compromises their ability to robustly represent future changes in catchment hydrology. In this paper, we test a simple framework for selecting an ensemble of calibrated hydrological model structures in catchments where changing climatic conditions have been observed. We start by considering 78 model structures produced using the FUSE modular modelling framework and rely on a Pareto scheme to select model structures maximizing model efficiency in both wet and dry periods. The application of this approach in three case study basins in Peru enables the identification of structures with good robustness, but also good performance according to hydrological signatures not used for model selection. We also highlight that some model structures that perform well according to traditional efficiency metrics have low performance in contrasting climates or suspicious internal states and fluxes. Importantly, the model selection approach followed here helps to reduce the spread in precipitation elasticities and temperature sensitivities, providing a clearer picture of future hydrological changes. Overall, this work demonstrates the potential of using contrasting climatic conditions in a multi-objective framework to produce robust and credible simulations, and to constrain structural uncertainties in hydrological projections.
23 Jun 2021Submitted to Hydrological Processes
25 Jun 2021Submission Checks Completed
25 Jun 2021Assigned to Editor
25 Jun 2021Reviewer(s) Assigned
20 Aug 2021Review(s) Completed, Editorial Evaluation Pending
06 Sep 2021Editorial Decision: Revise Minor
30 Sep 20211st Revision Received
01 Oct 2021Submission Checks Completed
01 Oct 2021Assigned to Editor
01 Oct 2021Reviewer(s) Assigned
09 Nov 2021Review(s) Completed, Editorial Evaluation Pending
10 Nov 2021Editorial Decision: Revise Minor
18 Nov 20212nd Revision Received
19 Nov 2021Submission Checks Completed
19 Nov 2021Assigned to Editor
19 Nov 2021Reviewer(s) Assigned
19 Nov 2021Review(s) Completed, Editorial Evaluation Pending
22 Nov 2021Editorial Decision: Accept
Jan 2022Published in Hydrological Processes volume 36 issue 1. 10.1002/hyp.14446