Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4511-2017
https://doi.org/10.5194/gmd-10-4511-2017
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

Data sets

Model output of sensitivity analysis for the COAWST vegetation model USGS/WHCMSC http://geoport.whoi.edu/thredds/catalog/clay/usgs/users/tkalra/senstivity_study/catalog.html

Model code and software

Effective-Quadratures/Effective-Quadratures: Suite of tools for polynomial approximations P. Seshradi https://github.com/Effective-Quadratures/Effective-Quadratures

Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies P. Seshadri and G. T. Parks https://doi.org/10.21105/joss.00166

COAWST: Coupled-Ocean-Atmosphere-Wave-Sediment Transport Model J. C. Warner https://coawstmodel-trac.sourcerepo.com/coawstmodel_COAWST

Development of a Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System J. C. Warner, B. Armstrong, R. He, and J. B. Zambon https://doi.org/10.1016/j.ocemod.2010.07.010

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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.