Articles | Volume 29, issue 14
https://doi.org/10.5194/hess-29-3227-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-3227-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jul 2025
Research article |
| 25 Jul 2025
| 25 Jul 2025
Merits and limits of SWAT-GL: application in contrasting glaciated catchments
School of Engineering and Design, Technical University of Munich, Munich, Germany
Florentin Hofmeister
School of Engineering and Design, Technical University of Munich, Munich, Germany
Bavarian Academy of Sciences and Humanities, Munich, Germany
Gabriele Chiogna
GeoZentrum Norbayern, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
Fabian Merk
School of Engineering and Design, Technical University of Munich, Munich, Germany
School of Engineering and Design, Technical University of Munich, Munich, Germany
Julian Machnitzke
School of Engineering and Design, Technical University of Munich, Munich, Germany
Lucas Alcamo
School of Engineering and Design, Technical University of Munich, Munich, Germany
Jingshui Huang
School of Engineering and Design, Technical University of Munich, Munich, Germany
Markus Disse
School of Engineering and Design, Technical University of Munich, Munich, Germany
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Short summary
The glacier-expanded SWAT (Soil Water Assessment Tool) version, SWAT-GL, was tested in four different catchments, highlighting the capabilities of the glacier routine. It was evaluated based on the representation of glacier mass balance, snow cover and glacier hypsometry. The glacier changes over a long timescale could be adequately represented, leading to promising potential future applications in glaciated and high mountain environments and significantly outperforming standard SWAT models.
The glacier-expanded SWAT (Soil Water Assessment Tool) version, SWAT-GL, was tested in four...
