Abstract: Ogura and Phillips derived the original anelastic model through systematic formal asymptotics using the flow Mach number as the expansion parameter. To arrive at a reduced model that would simultaneously represent internal ...

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 ...

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. ...

Abstract: This study focuses on understanding the evolution of Hurricane Earl (2010) with respect to random perturbations in the storm?s initial strength, size, and asymmetry in wind distribution. We rely on the Unified Wave ...

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 ...