Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 20
Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5755-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-5755-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 20
Research article
 | 
27 Oct 2025
Research article |  | 27 Oct 2025

Reducing hydrological uncertainty in large mountainous basins: the role of isotope, snow cover, and glacier dynamics in capturing streamflow seasonality

Diego Avesani, Yi Nan, and Fuqiang Tian

Viewed

Total article views: 2,340 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,905 363 72 2,340 53 44 56
  • HTML: 1,905
  • PDF: 363
  • XML: 72
  • Total: 2,340
  • Supplement: 53
  • BibTeX: 44
  • EndNote: 56
Views and downloads (calculated since 17 Mar 2025)
Cumulative views and downloads (calculated since 17 Mar 2025)

Viewed (geographical distribution)

Total article views: 2,340 (including HTML, PDF, and XML) Thereof 2,260 with geography defined and 80 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Short summary
Our study explores how different data sources (snow cover, glacier mass balance, and water isotopes) can improve hydrological modeling in large mountain basins. Using a Bayesian framework, we show that isotopes are particularly useful for reducing uncertainty in low-flow conditions, while snow and glacier data help during melt seasons. By addressing equifinality, our approach enhances model reliability, improving water management and streamflow predictions in mountainous regions.
Read more
Share