default author photo

John S. Rowan

University of Dundee

Dundee, DD1 4HN

United Kingdom

SCHOLARLY PAPERS

7

DOWNLOADS

297

TOTAL CITATIONS

5

Scholarly Papers (7)

1.

Unravelling the Web of Loss and Damage: Cascading Impacts and Relational Vulnerabilities in a Changing Climate

Number of pages: 56 Posted: 01 Sep 2025
Nandan Mukherjee and John S. Rowan
affiliation not provided to SSRN and University of Dundee
Downloads 58 (980,173)

Abstract:

Loading...

Climate Change, loss and damage, cascading impacts, relational vulnerability, root cause

2.
Downloads 53 (1,031,043)

Abstract:

Loading...

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

Abstract:

Loading...

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

4.
Downloads 49 (1,074,648)
Citation 5

Abstract:

Loading...

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

5.
Downloads 47 (1,097,529)

Abstract:

Loading...

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

6.

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)

Abstract:

Loading...

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

7.

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:

Loading...

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