Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-107
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
06 Jun 2017
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Geoscientific Model Development (GMD).
Sensitivity Analysis of a Coupled Hydrodynamic-Vegetation Model Using the Effectively Subsampled Quadratures Method
Tarandeep S. Kalra1, Alfredo Aretxabaleta1, Pranay Seshadri2, Neil K. Ganju1, and Alexis Beudin3 1U.S. Geological Survey, Woods Hole, MA 02543, USA
2University of Cambridge, Cambridge, England, CB2 1PZ, United Kingdom
3DEAL Guadeloupe, 97102 Basse-Terre, France
Abstract. Coastal hydrodynamics can be greatly affected by the presence of submerged aquatic vegetation. The effect of vegetation has been incorporated into the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System. The vegetation implementation includes the plant-induced three-dimensional drag, in-canopy wave-induced streaming, and the production of turbulent kinetic energy by the presence of vegetation. In this study, we evaluate the sensitivity of the flow and wave dynamics to vegetation parameters using Sobol' indices and a least squares polynomial approach referred to as Effective Quadratures method. This method reduces the number of simulations needed for evaluating Sobol' indices and provides a robust, practical, and efficient approach for the parameter sensitivity analysis. The evaluation of Sobol' indices shows that kinetic energy, turbulent kinetic energy, and water level changes are affected by plant density, height, and to a certain degree, diameter. Wave dissipation is mostly dependent on the variation in plant density. Performing sensitivity analyses for the vegetation module in COAWST provides guidance for future observational and modeling work to optimize efforts and reduce exploration of parameter space.

Citation: Kalra, T. S., Aretxabaleta, A., Seshadri, P., Ganju, N. K., and Beudin, A.: Sensitivity Analysis of a Coupled Hydrodynamic-Vegetation Model Using the Effectively Subsampled Quadratures Method, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-107, in review, 2017.
Tarandeep S. Kalra et al.
Tarandeep S. Kalra et al.
Tarandeep S. Kalra et al.

Viewed

Total article views: 430 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
346 73 11 430 7 11

Views and downloads (calculated since 06 Jun 2017)

Cumulative views and downloads (calculated since 06 Jun 2017)

Viewed (geographical distribution)

Total article views: 430 (including HTML, PDF, and XML)

Thereof 430 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 23 Sep 2017
Publications Copernicus
Download
Short summary
The manuscript details the sensitivity of vegetation properties that are input to a 3D 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 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 manuscript details the sensitivity of vegetation properties that are input to a 3D submerged...
Share