Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 12
Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4511-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-4511-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 12
Methods for assessment of models
 | 
08 Dec 2017
Methods for assessment of models |  | 08 Dec 2017

Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method (ESQM v5.2)

Tarandeep S. Kalra, Alfredo Aretxabaleta, Pranay Seshadri, Neil K. Ganju, and Alexis Beudin

Viewed

Total article views: 3,486 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,326 1,035 125 3,486 154 141
  • HTML: 2,326
  • PDF: 1,035
  • XML: 125
  • Total: 3,486
  • BibTeX: 154
  • EndNote: 141
Views and downloads (calculated since 06 Jun 2017)
Cumulative views and downloads (calculated since 06 Jun 2017)

Viewed (geographical distribution)

Total article views: 3,486 (including HTML, PDF, and XML) Thereof 3,344 with geography defined and 142 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
The paper details the sensitivity of vegetation properties that are input to a 3-D submerged aquatic vegetation model within a coupled hydrodynamics and wave model. It describes a novel strategy to perform sensitivity analysis efficiently by using a combination of the Effective Quadratures method and Sobol' indices. This method reduces the number of simulations to understand the sensitivity patterns and also quantifies the amount of sensitivity.
Read more
Share