Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.102 IF 3.102
  • IF 5-year value: 3.284 IF 5-year
    3.284
  • CiteScore value: 5.1 CiteScore
    5.1
  • SNIP value: 1.37 SNIP 1.37
  • IPP value: 3.21 IPP 3.21
  • SJR value: 1.005 SJR 1.005
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 90 Scimago H
    index 90
  • h5-index value: 42 h5-index 42
NHESS | Articles | Volume 19, issue 8
Nat. Hazards Earth Syst. Sci., 19, 1723–1735, 2019
https://doi.org/10.5194/nhess-19-1723-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Advances in computational modelling of natural hazards and...

Nat. Hazards Earth Syst. Sci., 19, 1723–1735, 2019
https://doi.org/10.5194/nhess-19-1723-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Aug 2019

Research article | 12 Aug 2019

Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework

Jannis M. Hoch et al.

Related authors

Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin
Jamie Towner, Hannah L. Cloke, Ervin Zsoter, Zachary Flamig, Jannis M. Hoch, Juan Bazo, Erin Coughlan de Perez, and Elisabeth M. Stephens
Hydrol. Earth Syst. Sci., 23, 3057–3080, https://doi.org/10.5194/hess-23-3057-2019,https://doi.org/10.5194/hess-23-3057-2019, 2019
Short summary
PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model
Edwin H. Sutanudjaja, Rens van Beek, Niko Wanders, Yoshihide Wada, Joyce H. C. Bosmans, Niels Drost, Ruud J. van der Ent, Inge E. M. de Graaf, Jannis M. Hoch, Kor de Jong, Derek Karssenberg, Patricia López López, Stefanie Peßenteiner, Oliver Schmitz, Menno W. Straatsma, Ekkamol Vannametee, Dominik Wisser, and Marc F. P. Bierkens
Geosci. Model Dev., 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018,https://doi.org/10.5194/gmd-11-2429-2018, 2018
Short summary
GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling
Jannis M. Hoch, Jeffrey C. Neal, Fedor Baart, Rens van Beek, Hessel C. Winsemius, Paul D. Bates, and Marc F. P. Bierkens
Geosci. Model Dev., 10, 3913–3929, https://doi.org/10.5194/gmd-10-3913-2017,https://doi.org/10.5194/gmd-10-3913-2017, 2017
Short summary
Assessing the impact of hydrodynamics on large-scale flood wave propagation – a case study for the Amazon Basin
Jannis M. Hoch, Arjen V. Haag, Arthur van Dam, Hessel C. Winsemius, Ludovicus P. H. van Beek, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 21, 117–132, https://doi.org/10.5194/hess-21-117-2017,https://doi.org/10.5194/hess-21-117-2017, 2017
Short summary

Related subject area

Hydrological Hazards
Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach
Benjamin Winter, Klaus Schneeberger, Kristian Förster, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 20, 1689–1703, https://doi.org/10.5194/nhess-20-1689-2020,https://doi.org/10.5194/nhess-20-1689-2020, 2020
Short summary
Brief communication: Seasonal prediction of salinity intrusion in the Mekong Delta
Heiko Apel, Mai Khiem, Nguyen Hong Quan, and To Quang Toan
Nat. Hazards Earth Syst. Sci., 20, 1609–1616, https://doi.org/10.5194/nhess-20-1609-2020,https://doi.org/10.5194/nhess-20-1609-2020, 2020
Short summary
Skill of large-scale seasonal drought impact forecasts
Samuel J. Sutanto, Melati van der Weert, Veit Blauhut, and Henny A. J. Van Lanen
Nat. Hazards Earth Syst. Sci., 20, 1595–1608, https://doi.org/10.5194/nhess-20-1595-2020,https://doi.org/10.5194/nhess-20-1595-2020, 2020
Short summary
Brief communication: Comparing hydrological and hydrogeomorphic paradigms for global flood hazard mapping
Giuliano Di Baldassarre, Fernando Nardi, Antonio Annis, Vincent Odongo, Maria Rusca, and Salvatore Grimaldi
Nat. Hazards Earth Syst. Sci., 20, 1415–1419, https://doi.org/10.5194/nhess-20-1415-2020,https://doi.org/10.5194/nhess-20-1415-2020, 2020
Short summary
Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products
Shraddhanand Shukla, Kristi R. Arsenault, Abheera Hazra, Christa Peters-Lidard, Randal D. Koster, Frank Davenport, Tamuka Magadzire, Chris Funk, Sujay Kumar, Amy McNally, Augusto Getirana, Greg Husak, Ben Zaitchik, Jim Verdin, Faka Dieudonne Nsadisa, and Inbal Becker-Reshef
Nat. Hazards Earth Syst. Sci., 20, 1187–1201, https://doi.org/10.5194/nhess-20-1187-2020,https://doi.org/10.5194/nhess-20-1187-2020, 2020
Short summary

Cited articles

Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010. 
Bernhofen, M., Whyman, C., Trigg, M. A., Sleigh, P. A., Smith, A. M., Sampson, C. C., Yamazaki, D., Ward, P. J., Rudari, R., Pappenberger, F., Dottori, F., Salamon, P., and Winsemius, H. C.: A first collective validation of global fluvial flood models for major floods in Nigeria and Mozambique, Environ. Res. Lett., 13, 104007, https://doi.org/10.1088/1748-9326/aae014, 2018. 
Beven, K., Cloke, H., Pappenberger, F., Lamb, R., and Hunter, N.: Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface, Sci. China Earth Sci., 58, 25–35, https://doi.org/10.1007/s11430-014-5003-4, 2015. 
Biancamaria, S., Bates, P. D., Boone, A., and Mognard, N. M.: Large-scale coupled hydrologic and hydraulic modelling of the Ob river in Siberia, J. Hydrol., 379, 136–150, https://doi.org/10.1016/j.jhydrol.2009.09.054, 2009. 
Publications Copernicus
Download
Short summary
Flood events are often complex in their origin and dynamics. The choice of computer model to simulate can hence determine which level of complexity can be represented. We here compare different models varying in complexity (hydrology with routing, 1-D routing, 1D/2D hydrodynamics) and assess how model choice influences the accuracy of results. This was achieved by using GLOFRIM, a model coupling framework. Results show that accuracy depends on the model choice and the output variable considered.
Flood events are often complex in their origin and dynamics. The choice of computer model to...
Citation