Articles | Volume 26, issue 3
https://doi.org/10.5194/nhess-26-1075-2026
https://doi.org/10.5194/nhess-26-1075-2026
Research article
 | 
04 Mar 2026
Research article |  | 04 Mar 2026

Harnessing multi-source hydro-meteorological data for high flows modelling in a partially glacierized Himalayan basin

Domenico De Santis, Silvia Barbetta, Sumit Sen, Viviana Maggioni, Farhad Bahmanpouri, Ashutosh Sharma, Ankit Agarwal, Sagar Gupta, Francesco Avanzi, and Christian Massari

Viewed

Total article views: 1,233 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
831 351 51 1,233 96 44 44
  • HTML: 831
  • PDF: 351
  • XML: 51
  • Total: 1,233
  • Supplement: 96
  • BibTeX: 44
  • EndNote: 44
Views and downloads (calculated since 15 Oct 2025)
Cumulative views and downloads (calculated since 15 Oct 2025)

Viewed (geographical distribution)

Total article views: 1,233 (including HTML, PDF, and XML) Thereof 1,137 with geography defined and 96 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 27 Apr 2026
Download
Short summary
A conceptual, semi-distributed hydrological model was tailored to simulate high flows in monsoon-dominated, glacier-influenced and flood-prone Himalayan basins. Multi-data calibration using satellite-based glacier mass loss and evapotranspiration estimates improved process realism in data-scarce environments. The proposed modelling approach captured key streamflow features despite significant input uncertainties, proving to be a useful tool for exploring the local hydrological response dynamics.
Share
Altmetrics
Final-revised paper
Preprint