Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 12 | Copyright
Geosci. Model Dev., 10, 4511-4523, 2017
https://doi.org/10.5194/gmd-10-4511-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
Viewed
Total article views: 957 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
690 230 37 957 29 34
  • HTML: 690
  • PDF: 230
  • XML: 37
  • Total: 957
  • BibTeX: 29
  • EndNote: 34
Views and downloads (calculated since 06 Jun 2017)
Cumulative views and downloads (calculated since 06 Jun 2017)
Viewed (geographical distribution)
Total article views: 957 (including HTML, PDF, and XML) Thereof 955 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved (final revised paper)
No saved metrics found.
Saved (discussion paper)
No saved metrics found.
Discussed (final revised paper)
No discussed metrics found.
Discussed (discussion paper)
No discussed metrics found.
Latest update: 23 Sep 2018
Publications Copernicus
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.
The paper details the sensitivity of vegetation properties that are input to a 3-D submerged...
Citation
Share