Abstract: etrospective inference through Bayesian smoothing is indispensable in geophysics, with crucial applications in ocean and numerical weather estimation, climate dynamics, and Earth system modeling. However, dealing with the ...

Abstract: he nonlinear Gaussian?Mixture?Model Dynamically?Orthogonal (GMM?DO) smoother for high?dimensional stochastic fields is exemplified and contrasted with other smoothers by applications to three dynamical systems, all of which ...

Abstract: he properties and capabilities of the Gaussian Mixture Model?Dynamically Orthogonal filter (GMM-DO) are assessed and exemplified by applications to two dynamical systems: 1) the double well diffusion and 2) sudden expansion ...

Abstract: his work introduces and derives an efficient, data-driven assimilation scheme, focused on a time-dependent stochastic subspace that respects nonlinear dynamics and captures non-Gaussian statistics as it occurs. The motivation ...

Abstract: An array of current meter moorings along 12°W on the southern side of the lceland-Faeroe Ridge reveals a narrowband barotropic oscillation with period 1.8 days in spectra of velocity. The signal is coherent over at least ...

Abstract: hydrostatic, coupled-mode, shallow-water model (CSW) is described and used to diagnose and simulate tidal dynamics in the greater Mid-Atlantic Bight region. The reduced-physics model incorporates realistic stratification ...