Learning ocean circulation models with reservoir computing

Keyphrases

• Reservoir Computing 100%
• Ocean Circulation Model 100%
• Stream Function 66%
• Reservoir Computing Approach 66%
• Flow Data 33%
• Flow Parameters 33%
• Ocean Circulation 33%
• Dimensionless Parameters 33%
• Dynamical Behavior 33%
• Double Gyre 33%
• Machine Learning Algorithms 33%
• Finite-time Lyapunov Exponent 33%
• Predictive Modeling 33%
• Basin Model 33%
• Function Model 33%
• Proper Orthogonal Decomposition 33%
• Physical Parameters 33%
• Approaches to Learning 33%
• Computing Machines 33%
• Quasigeostrophic Models 33%
• Numerical Parameters 33%
• Quasi-geostrophic 33%
• Function Time 33%
• Particle Trajectory 33%
• Ocean Transport 33%
• Predictive Control 33%
• Partial Differential Equation Systems 33%

Engineering

• Stream Function ψ 100%
• Data Flow 50%
• Flow Parameters 50%
• Dimensionless Parameter 50%
• Machine Learning Algorithm 50%
• Dynamical Behavior 50%
• Lyapunov Exponent 50%
• Finite Time 50%
• Model Basin 50%
• Proper Orthogonal Decomposition 50%
• Particle Trajectory 50%
• Partial Differential Equation 50%