Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 23
Articles | Volume 29, issue 23
https://doi.org/10.5194/hess-29-7041-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-7041-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 23
Research article
 | 
08 Dec 2025
Research article |  | 08 Dec 2025

Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions

Joren Janzing, Niko Wanders, Marit van Tiel, Barry van Jaarsveld, Dirk N. Karger, and Manuela I. Brunner

Viewed

Total article views: 7,340 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,227 967 146 7,340 277 150 254
  • HTML: 6,227
  • PDF: 967
  • XML: 146
  • Total: 7,340
  • Supplement: 277
  • BibTeX: 150
  • EndNote: 254
Views and downloads (calculated since 16 Dec 2024)
Cumulative views and downloads (calculated since 16 Dec 2024)

Viewed (geographical distribution)

Total article views: 7,340 (including HTML, PDF, and XML) Thereof 7,237 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 22 Jul 2026
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Process representation in hyper-resolution large-scale hydrological models (LHMs) limits model performance, particularly in mountain regions. Here, we update mountain process representation in an LHM and compare different meteorological forcing products. Structural and parametric changes in snow, glacier, and soil processes improve discharge simulations, while meteorological forcing remains a major control on model performance. Our work can guide future development of LHMs.
Read more
Share