Articles | Volume 25, issue 10
https://doi.org/10.5194/hess-25-5425-2021
https://doi.org/10.5194/hess-25-5425-2021
Research article
 | 
12 Oct 2021
Research article |  | 12 Oct 2021

Numerical daemons of hydrological models are summoned by extreme precipitation

Peter T. La Follette, Adriaan J. Teuling, Nans Addor, Martyn Clark, Koen Jansen, and Lieke A. Melsen

Related authors

GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications
Guoqiang Tang, Andrew W. Wood, Andrew J. Newman, Martyn P. Clark, and Simon Michael Papalexiou
Geosci. Model Dev., 17, 1153–1173, https://doi.org/10.5194/gmd-17-1153-2024,https://doi.org/10.5194/gmd-17-1153-2024, 2024
Short summary
Technical Note: Smartphone-based evapotranspiration monitoring
Adriaan J. Teuling and Jasper F. D. Lammers
EGUsphere, https://doi.org/10.5194/egusphere-2023-3096,https://doi.org/10.5194/egusphere-2023-3096, 2024
Short summary
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023,https://doi.org/10.5194/essd-15-5755-2023, 2023
Short summary
HESS Opinions: Drought impacts as failed prospects
Germano G. Ribeiro Neto, Sarra Kchouk, Lieke A. Melsen, Louise Cavalcante, David W. Walker, Art Dewulf, Alexandre C. Costa, Eduardo S. P. R. Martins, and Pieter R. van Oel
Hydrol. Earth Syst. Sci., 27, 4217–4225, https://doi.org/10.5194/hess-27-4217-2023,https://doi.org/10.5194/hess-27-4217-2023, 2023
Short summary
Guiding community discussions on human-water-related challenges by serious gaming in the upper Ewaso Ng’iro river basin, Kenya
Charles Nduhiu Wamucii, Pieter R. van Oel, Adriaan J. Teuling, Arend Ligtenberg, John Mwangi Gathenya, Gert Jan Hofstede, Meine van Noordwijk, and Erika N. Speelman
EGUsphere, https://doi.org/10.5194/egusphere-2023-2459,https://doi.org/10.5194/egusphere-2023-2459, 2023
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024,https://doi.org/10.5194/hess-28-851-2024, 2024
Short summary
What controls the tail behaviour of flood series: rainfall or runoff generation?
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024,https://doi.org/10.5194/hess-28-833-2024, 2024
Short summary
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024,https://doi.org/10.5194/hess-28-691-2024, 2024
Short summary
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci., 28, 669–689, https://doi.org/10.5194/hess-28-669-2024,https://doi.org/10.5194/hess-28-669-2024, 2024
Short summary
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
Hydrol. Earth Syst. Sci., 28, 545–573, https://doi.org/10.5194/hess-28-545-2024,https://doi.org/10.5194/hess-28-545-2024, 2024
Short summary

Cited articles

Addor, N. and Melsen, L.: Legacy, rather than adequacy, drives the selection of hydrological models, Water Resour. Res., 55, 378–390, 2019. a, b, c
Addor, N., Jaun, S., Fundel, F., and Zappa, M.: An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios, Hydrol. Earth Syst. Sci., 15, 2327–2347, https://doi.org/10.5194/hess-15-2327-2011, 2011. a
Blake, E. S. and Zelinsky, D. A.: National Hurricane Center tropical cyclone report hurricane Harvey, available at: https://www.nhc.noaa.gov/data/tcr/index.php?season=2017&basin=atl (last access: 1 May 2021), 2018. a
Boithias, L., Sauvage, S., Lenica, A., Roux, H., Abbaspour, K. C., Larnier, K., Dartus, D., and Sánchez-Pérez, J. M.: Simulating flash floods at hourly time-step using the SWAT model, Water, 9, 929, https://doi.org/10.3390/w9120929, 2017. a
Brauer, C. C., Teuling, A. J., Overeem, A., van der Velde, Y., Hazenberg, P., Warmerdam, P. M. M., and Uijlenhoet, R.: Anatomy of extraordinary rainfall and flash flood in a Dutch lowland catchment, Hydrol. Earth Syst. Sci., 15, 1991–2005, https://doi.org/10.5194/hess-15-1991-2011, 2011. a
Download
Short summary
Hydrological models are useful tools that allow us to predict distributions and movement of water. A variety of numerical methods are used by these models. We demonstrate which numerical methods yield large errors when subject to extreme precipitation. As the climate is changing such that extreme precipitation is more common, we find that some numerical methods are better suited for use in hydrological models. Also, we find that many current hydrological models use relatively inaccurate methods.