Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1723-2019
https://doi.org/10.5194/nhess-19-1723-2019
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, Dirk Eilander, Hiroaki Ikeuchi, Fedor Baart, and Hessel C. Winsemius

Viewed

Total article views: 3,497 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,324 1,101 72 3,497 340 76 76
  • HTML: 2,324
  • PDF: 1,101
  • XML: 72
  • Total: 3,497
  • Supplement: 340
  • BibTeX: 76
  • EndNote: 76
Views and downloads (calculated since 12 Mar 2019)
Cumulative views and downloads (calculated since 12 Mar 2019)

Viewed (geographical distribution)

Total article views: 3,497 (including HTML, PDF, and XML) Thereof 2,969 with geography defined and 528 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
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.
Altmetrics
Final-revised paper
Preprint