Search
CSV
RISDrag Parameter Estimation Using Gradients and Hessian from a Polynomial Chaos Model Surrogate
Publisher: American Meteorological Society
Abstract: variational inverse problem is solved using polynomial chaos expansions to infer several critical variables in the Hybrid Coordinate Ocean Model?s (HYCOM?s) wind drag parameterization. This alternative to the Bayesian ...
Polynomial Chaos–Based Bayesian Inference of K-Profile Parameterization in a General Circulation Model of the Tropical Pacific
Publisher: American Meteorological Society
Abstract: he authors present a polynomial chaos (PC)?based Bayesian inference method for quantifying the uncertainties of the K-profile parameterization (KPP) within the MIT general circulation model (MITgcm) of the tropical Pacific. ...
Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi
Publisher: American Meteorological Society
Abstract: he authors introduce a three-parameter characterization of the wind speed dependence of the drag coefficient and apply a Bayesian formalism to infer values for these parameters from airborne expendable bathythermograph ...