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

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

doi:10.5194/nhess-26-1075-2026

Articles | Volume 26, issue 3

https://doi.org/10.5194/nhess-26-1075-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-26-1075-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 3

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

Supplement

https://doi.org/10.5194/nhess-26-1075-2026-supplement

Data sets

NASADEM Merged DEM Global 1 arc second V001 NASA JPL https://doi.org/10.5067/MEASURES/NASADEM/NASADEM_HGT.001

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Randolph Glacier Inventory -- A Dataset of Global Glacier Outlines, Version 7.0 RGI 7.0 Consortium https://doi.org/10.5067/f6jmovy5navz

GLEAM4 (v4.2) D. G. Miralles et al. https://doi.org/10.5281/zenodo.14724263

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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.