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  Towards a more consistent eco-hydrological modelling through multi-objective calibration: a case study in the Andean Vilcanota River basin, Peru

Fernandez Palomino, C. A., Hattermann, F. F., Krysanova, V., Vega-Jácome, F., Bronstert, A. (2021): Towards a more consistent eco-hydrological modelling through multi-objective calibration: a case study in the Andean Vilcanota River basin, Peru. - Hydrological Sciences Journal, 66, 1, 59-74.
https://doi.org/10.1080/02626667.2020.1846740

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 Creators:
Fernandez Palomino, Carlos Antonio1, Author              
Hattermann, Fred Fokko1, Author              
Krysanova, Valentina1, Author              
Vega-Jácome, Fiorella2, Author
Bronstert, Axel1, Author              
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1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Most hydrological studies rely on a model calibrated using discharge alone. However, judging the model reliability based on such calibration is problematic, as it does not guarantee the correct representation of internal hydrological processes. This study aims (a) to develop a comprehensive multi-objective calibration framework using remote sensing vegetation data and hydrological signatures (flow duration curve, FDC, and baseflow index) besides discharge, and (b) to apply this framework for calibration of the Soil and Water Assessment Tool (SWAT) in a typical Andean catchment. Overall, our calibration approach outperformed traditional discharge-based and FDC signature-based calibration strategies in terms of vegetation, streamflow, and flow partitioning simulation. New hydrological insights for the region are: baseflow is the main component of the streamflow sustaining the long dry-season flow, and pasture areas offer higher water yield and baseflow than other land covers. The proposed approach could be used in other data-scarce regions with complex topography.

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 Dates: 2020-10-152020-11-042021-02-01
 Publication Status: Finally published
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 Rev. Type: Peer
 Identifiers: DOI: 10.1080/02626667.2020.1846740
PIKDOMAIN: RD2 - Climate Resilience
MDB-ID: No data to archive
Organisational keyword: RD2 - Climate Resilience
OATYPE: Hybrid Open Access
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Title: Hydrological Sciences Journal
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 66 (1) Sequence Number: - Start / End Page: 59 - 74 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals206
Publisher: Taylor & Francis