Articles | Volume 26, issue 23
https://doi.org/10.5194/hess-26-5971-2022
https://doi.org/10.5194/hess-26-5971-2022
Research article
 | 
02 Dec 2022
Research article |  | 02 Dec 2022

Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff

Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut

Data sets

Code and data to reproduce the coupling of PCR-GLOBWB 2 and GloGEM P. Wiersma https://doi.org/10.5281/zenodo.6386297

Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 6 RGI Consortium https://doi.org/10.7265/4m1f-gd79

Model code and software

Code and data to reproduce the coupling of PCR-GLOBWB 2 and GloGEM P. Wiersma https://doi.org/10.5281/zenodo.6386297

PCR-GLOBWB_model: PCR-GLOBWB version v2.1.0_beta_1 E. Sutanudjaja https://doi.org/10.5281/zenodo.247139

eWaterCycle Python package S. Verhoeven, N. Drost, B. Weel, S. Smeets, P. Kalverla, F. Alidoost, B. Vreede, H. Rolf, J. Aerts, and B. van Werkhoven https://doi.org/10.5281/zenodo.5119390

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Short summary
We test whether coupling a global glacier model (GloGEM) with a global hydrological model (PCR-GLOBWB 2) leads to a more realistic glacier representation and to improved basin runoff simulations across 25 large-scale basins. The coupling does lead to improved glacier representation, mainly by accounting for glacier flow and net glacier mass loss, and to improved basin runoff simulations, mostly in strongly glacier-influenced basins, which is where the coupling has the most impact.