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

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Cited articles

Addor, N. and Melsen, L. A.: Legacy, Rather Than Adequacy, Drives the Selection of Hydrological Models, Water Resour. Res., 55, 378–390, https://doi.org/10.1029/2018WR022958, 2019. a, b
Addor, N., Newman, A., Mizukami, M., and Clark, M. P.: Catchment attributes for large-sample studies, UCAR/NCAR, Boulder, CO [data set], https://doi.org/10.5065/D6G73C3Q, 2017a. a
Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017b. a, b, c, d, e, f
AghaKouchak, A., Nakhjiri, N., and Habib, E.: An educational model for ensemble streamflow simulation and uncertainty analysis, Hydrol. Earth Syst. Sci., 17, 445–452, https://doi.org/10.5194/hess-17-445-2013, 2013. a
Alvarez-Garreton, C., Mendoza, P. A., Boisier, J. P., Addor, N., Galleguillos, M., Zambrano-Bigiarini, M., Lara, A., Puelma, C., Cortes, G., Garreaud, R., McPhee, J., and Ayala, A.: The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset, Hydrol. Earth Syst. Sci., 22, 5817–5846, https://doi.org/10.5194/hess-22-5817-2018, 2018. a
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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.
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