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20122016
most citedPolynomial Chaos-based Bayesian Inference of K-Profile Parametrization in a General Circulation Model of the Tropical Pacific

12 citations · 13 across the 3 of their papers we have counts for

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stat.ME2015★ 12 cited

Polynomial Chaos-based Bayesian Inference of K-Profile Parametrization in a General Circulation Model of the Tropical Pacific

Ihab Sraj, Sarah E. Zedler, Omar M. Knio +2

The authors present a Polynomial Chaos (PC)-based Bayesian inference method for quantifying the uncertainties of the K-Profile Parametrization (KPP) within the MIT General Circulat…