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Jamal Hassan Ougahi

University of Dundee

Dundee, DD1 4HN

United Kingdom

SCHOLARLY PAPERS

6

DOWNLOADS

268

TOTAL CITATIONS

5

Scholarly Papers (6)

1.
Downloads 53 (1,031,043)

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Conceptual Hydrological Models, Clustering, Regionalization Methods, Support Vector Regression, Ungauged catchments

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Climate change, Karakoram Anomaly, water resources, Snow Water Equivalent, Glacier runoff, Vulnerability

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Climate Change, Karakoram Anomaly, Water Resources, Snow Water Equivalent, Glacier runoff, Vulnerability

3.
Downloads 49 (1,074,648)
Citation 5

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Artificial Intelligence (AI), Hydrological modelling, Hybrid models, Machine Learning, Glacier-runoff simulation, Upper Indus Basin

4.

Comparative Evaluation of Conceptual Versus Data-Driven Hydrological Model Performance Across Diverse Flow Regimes in the Upper Indus Basin

Number of pages: 72 Posted: 24 Jul 2025
Jamal Hassan Ougahi and John S. Rowan
University of Dundee and University of Dundee
Downloads 47 (1,097,529)

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Glacio-hydrological model, Data-driven models, Snow and glacier melt, Flood events prediction, basin characteristics linked to strong modelling performance, basins with hard-to-predict behaviours

5.

Assessing Parameter Transferability to Nival and Nivo-glacial Regimes Through a Conceptual Glacio-Hydrological Model

Number of pages: 67 Posted: 13 Nov 2025
Jamal Hassan Ougahi and John S. Rowan
University of Dundee and University of Dundee
Downloads 38 (1,209,354)

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Glacio-hydrological model, Snow and glacier melt, Parameter transferability, Hydrological scaling and similarity, Regionalization, High altitude catchments

6.

Evaluating Conceptual versus Data-Driven Models for Streamflow Simulation across diverse flow regimes in the Upper Indus Basin

Number of pages: 71 Posted: 11 Sep 2025
Jamal Hassan Ougahi and John S. Rowan
University of Dundee and University of Dundee
Downloads 29 (1,332,057)

Abstract:

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Glacio-hydrological model, Data-driven models, Snow and glacier melt, Flood events prediction, basin characteristics linked to strong modelling performance, basins with hard-to-predict behaviours