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Hybrid Data Assimilation

Hybrid Data Assimilation

Hybrid Data Assimilation. Peter Jan van Leeuwen Data Assimilation Research Centre (DARC) National Centre for Earth Observation http:// www.met.reading.ac.uk /~ darc / University of Reading p.j.vanleeuwen@reading.ac.uk. Present-day data-assimilation methods for NWP:. x. EnKF: . x.

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451 views • 42 slides
Chapter 7 Other Important NN Models

Chapter 7 Other Important NN Models

Chapter 7 Other Important NN Models. Continuous Hopfield mode (in detail) For combinatorial optimization Simulated annealing (in detail) Escape from local minimum Baltzmann machine (brief) Other models (brief) Reinforcement learning (between supervised and unsupervised learning)

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556 views • 37 slides
An Investigation of Strong and Weak Constraints to Improve Variational Surface Analyses

An Investigation of Strong and Weak Constraints to Improve Variational Surface Analyses

Daniel Paul Tyndall 4 March 2010 Department of Atmospheric Sciences University of Utah Salt Lake City, UT. An Investigation of Strong and Weak Constraints to Improve Variational Surface Analyses. Outline. Introduction Literature Review 2DVar/3DVar Analysis Methodologies

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397 views • 34 slides
Recent Changes to GSI 3D-Var Analysis

Recent Changes to GSI 3D-Var Analysis

Recent Changes to GSI 3D-Var Analysis. Wan-Shu Wu March 2007 at CWB. Adaptive Tuning of Observational Error.

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404 views • 32 slides
Di Lorenzo, E. Georgia Institute of Technology Arango, H. Rutgers University

Di Lorenzo, E. Georgia Institute of Technology Arango, H. Rutgers University

Weak Constraint 4DVAR in the R egional O cean M odeling S ystem ( ROMS ): Development and application for a baroclinic coastal upwelling system. Di Lorenzo, E. Georgia Institute of Technology Arango, H. Rutgers University Moore, A. and Powell B. UC Santa Cruz

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302 views • 19 slides

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