Assimilating irregularly spaced sparsely observed turbulent signals with hierarchical Bayesian reduced stochastic filters

Engineering

• Filtration 100%
• Linear Interpolation 100%
• Stochastic Model 66%
• Interpolation Scheme 66%
• Processed Data 66%
• Raw Data 33%
• State Estimation 33%
• Computer Simulation 33%
• Two Dimensional 33%
• Observation Time 33%
• Observation Noise 33%
• Hierarchical Bayesian Approach 33%
• Dimensional Domain 33%
• Noise Variance 33%

Keyphrases

• Stochastic Filter 100%
• Linear Interpolation 66%
• Dynamical Constraints 66%
• Interpolation Schemes 66%
• Irregular Observations 33%
• Kriging Interpolation 33%
• Noise Variance 33%
• Two-layer Quasi-geostrophic Model 33%
• Stochastic Filtering Model 33%
• Piecewise Linear Interpolation 33%
• Time Interval Error 33%
• Oceanic Turbulence 33%
• Radius of Deformation 33%

Mathematics

• Stochastics 100%
• Kriging 100%
• Bayesian 100%
• Stochastic Model 66%
• Variance 33%
• Numerical Simulation 33%
• Bayesian Approach 33%
• time interval τ 33%
• Dimensional Domain 33%
• Error Variance 33%