Articles | Volume 26, issue 12
https://doi.org/10.5194/hess-26-3299-2022
https://doi.org/10.5194/hess-26-3299-2022
Education and communication
 | 
29 Jun 2022
Education and communication |  | 29 Jun 2022

Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise

Wouter J. M. Knoben and Diana Spieler

Data sets

Catchment attributes for large-sample studies N. Addor, A. Newman, M. Mizukami, and M. P. Clark https://doi.org/10.5065/D6G73C3Q

A large-sample watershed-scale hydrometeorological dataset for the contiguous USA A. Newman, K. Sampson, M. P. Clark, A. Bock, R. J. Viger, and D. Blodgett https://doi.org/10.5065/D6MW2F4D

wknoben/Dresden-Structure-Uncertainty: MARRMoT v2 update (v1.1.0) W. J. M. Knoben and D. Spieler https://doi.org/10.5281/zenodo.6676138

Model code and software

wknoben/MARRMoT: MARRMoT_v1.2 (v1.2) W. J. M. Knoben https://doi.org/10.5281/zenodo.3235664

wknoben/MARRMoT: MARRMoT_v1.4 (v1.4) W. J. M. Knoben and L. Trotter https://doi.org/10.5281/zenodo.6460624

MARRMoT v2.1 (v2.1) L. Trotter and W. J. M. Knoben https://doi.org/10.5281/zenodo.6484372

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Short summary
This paper introduces educational materials that can be used to teach students about model structure uncertainty in hydrological modelling. There are many different hydrological models and differences between these models impact their usefulness in different places. Such models are often used to support decision making about water resources and to perform hydrological science, and it is thus important for students to understand that model choice matters.