Uncertainty estimation and prediction for interdisciplinary ocean dynamics
نویسندگان
چکیده
منابع مشابه
Uncertainty estimation and prediction for interdisciplinary ocean dynamics
Scientific computations for the quantification, estimation and prediction of uncertainties for ocean dynamics are developed and exemplified. Primary characteristics of ocean data, models and uncertainties are reviewed and quantitative data assimilation concepts defined. Challenges involved in realistic data-driven simulations of uncertainties for four-dimensional interdisciplinary ocean process...
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This research is concerned with the fundamental understanding and modeling of complex physical, acoustical and biogeochemical oceanic dynamics and processes. New mathematical models and computational methods are created, developed and utilized for i) ocean predictions and dynamical diagnostics, ii) data assimilation and data-model comparisons, and, iii) optimization and control of autonomous oc...
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Richardson Extrapolation-based Discretization Uncertainty Estimation for Computational Fluid Dynamics
This study investigates the accuracy of various Richardson extrapolation-based discretization error and uncertainty estimators for problems in computational fluid dynamics. Richardson extrapolation uses two solutions on systematically refined grids to estimate the exact solution to the partial differential equations and is accurate only in the asymptotic range (i.e., when the grids are sufficie...
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ژورنال
عنوان ژورنال: Journal of Computational Physics
سال: 2006
ISSN: 0021-9991
DOI: 10.1016/j.jcp.2006.02.010