A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model

Moore, Andrew M.; Arango, Hernan G.; Lorenzo, Emanuele Di; Cornuelle, Bruce D.; Miller, Arthur J.; Neilson, Douglas J.

doi:10.1016/j.ocemod.2003.11.001

Cited by 193 publications

(152 citation statements)

References 111 publications

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“…According to Robertson (2006), the semidiurnal baroclinic tides are well simulated with ROMS. In this study the ROMS was set up following Moore et al (2004). For more information on the model see Salas Monreal et al (2012).…”

Section: Study Sitementioning

confidence: 99%

“…The three-dimensional primitive equations ocean model uses σ coordinates to increase the vertical resolution at the depth of the internal wave (MOORE et al, 2004). The model simulates a 2000 m depth slope with a horizontal domain of 30 × 30 km alongshore and offshore, with 20 variable vertical levels and a maximal vertical resolution of 125 m. The free surface elevation, which uses a non-gradient open boundary condition and the salinity, temperature, and water velocities at each grid point were recorded over a 2 h period after the model had reached stability.…”

Section: Study Sitementioning

confidence: 99%

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Tidal effects on ichthyoplankton aggregation and dispersion in the Southern Gulf of Mexico

et al. 2013

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The role of vertical barotropic and baroclinic tidal forcing in the aggregation and dispersion of ichthyoplankton in the Southern Gulf of Mexico was analyzed in this study. Samplings of ichthyoplankton and the determination of hydrographic parameters were performed during September 1992 at a single point of 180 m depth, near the shelf break (19º32'N - 92º38.5'W). A 24 h CTD yo-yoing casting and biological samples were taken every 2 h and these measurements were combined with water velocity and density simulations from the Regional Ocean Model System (ROMS). One thermocline and two haloclines were depicted. The Froude number increased with a 2 h lag with respect to the maximal barotropic tide, suggesting the existence of a baroclinic tide. Aggregation and dispersion of the ichthyoplankton showed vertical oscillations in the abundance and the numbers of taxa and larvae with a 5 h lag with respect to the maximal barotropic tide and were in phase with the thermocline oscillation. The vertical oscillation was attributed to a hydraulic control forced by the internal tide.

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Section: Study Sitementioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Tidal effects on ichthyoplankton aggregation and dispersion in the Southern Gulf of Mexico

et al. 2013

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“…In order to test CM in realistic settings, we applied it to a numerically-generated hourly-averaged near-surface velocities produced by ROMS (Shchepetkin and McWilliams, 2005;Moore et al, 2004) for the Philippines domain. (See Rypina et al (2010) for details on the Philippines ROMS).…”

Section: A Numerically-simulated Mesoscale Eddymentioning

confidence: 99%

Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures

Rypina

Scott

Pratt

et al. 2011

Nonlin. Processes Geophys.

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Abstract. It is argued that the complexity of fluid particle trajectories provides the basis for a new method, referred to as the Complexity Method (CM), for estimation of Lagrangian coherent structures in aperiodic flows that are measured over finite time intervals. The basic principles of the CM are explained and the CM is tested in a variety of examples, both idealized and realistic, and in different reference frames. Two measures of complexity are explored in detail: the correlation dimension of trajectory, and a new measure -the ergodicity defect. Both measures yield structures that strongly resemble Lagrangian coherent structures in all of the examples considered. Since the CM uses properties of individual trajectories, and not separation rates between closely spaced trajectories, it may have advantages for the analysis of ocean float and drifter data sets in which trajectories are typically widely and non-uniformly spaced.

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“…Smoothing is essential for several geophysical applications, including atmospheric sciences and meteorology (Cohn et al 1994;Evensen and Van Leeuwen 2000;Khare et al 2008), as well as ocean modeling (e.g., Lermusiaux and Robinson 1999). Reanalyses especially benefit from smoothing since observations that are subsequent to the estimated states are then also used (e.g., Lermusiaux et al 2002;Stammer et al 2002;Moore et al 2004;Wunsch and Heimbach 2007;Di Lorenzo et al 2007;Cosme et al 2012). Other geophysical applications that benefit from smoothing include the estimation of atmospheric chemical sources (Bocquet 2005), adjustment of ocean forcings (Skandrani et al 2009), and estimation of boundary conditions (Barth et al 2010).…”

Section: Introductionmentioning

confidence: 99%

A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme

Lolla

Lermusiaux

2017

Mon. Wea. Rev.

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Retrospective 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 high-dimensionality and nonlinearity of geophysical processes remains a major challenge in the development of Bayesian smoothers. Addressing this issue, a novel subspace smoothing methodology for high-dimensional stochastic fields governed by general nonlinear dynamics is obtained. Building on recent Bayesian filters and classic Kalman smoothers, the fundamental equations and forwardbackward algorithms of new Gaussian Mixture Model (GMM) smoothers are derived, for both the full state space and dynamic subspace. For the latter, the stochastic Dynamically Orthogonal (DO) field equations and their time-evolving stochastic subspace are employed to predict the prior subspace probabilities. Bayesian inference, both forward and backward in time, is then analytically carried out in the dominant stochastic subspace, after fitting semiparametric GMMs to joint subspace realizations. The theoretical properties, varied forms, and computational costs of the new GMM smoother equations are presented and discussed.

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A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model

Cited by 193 publications

References 111 publications

Tidal effects on ichthyoplankton aggregation and dispersion in the Southern Gulf of Mexico

Tidal effects on ichthyoplankton aggregation and dispersion in the Southern Gulf of Mexico

Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures

A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme

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