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  • Created 16 Feb 2015

Events List

  1. Juan Durazo

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  2. Patrick Raanes: Extending the square root method to account for model noise in the ensemble Kalman filter

    A novel approach to account for model noise in the forecast step of the Ensemble Kalman filter (EnKF) is proposed. The core method is based on the approach of the analysis step of ensemble square root filters (ETKF), and consists in right-multiplying the ensemble matrix during the forecast step by a particular ``transform matrix''. Theoretical advantages include respecting linear constraints, minimising ensemble disarrangement, preserving covariance structures, and modularity. A...

  3. Matthew Smith: Environmental past, present and futures… fast!

    Eight years ago my lab set out to make, enable and accelerate transformative advances in science in areas of societal importance. We’ve had some impact with our science but what has also been satisfying is seeing the impact we can have with tools that make working with ecological and environmental data really easy. I’ll talk about Fetchclimate http://fetchclimate2.cloudapp.net/ a fast, free, intelligent climate information service that operates over the cloud to return exactly the information...

  4. Matthew Smith

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  5. Trevor Gionet: An Introduction to LETKF

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  6. Laura Slivinski: An Introduction to Lagrangian Data Assimilation Part 2

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  7. Laura Slivinski: An Introduction to Lagrangian Data Assimilation Part 1

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  8. Colin Grudzien: Practical Session on the adjoint method for computing the cost function gradient

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  9. Andy Reagan: Masters Thesis

    Andy Reagan at UVM will be giving a talk about his masters work on uncertainty quantification and data assimilation to improve the numerical prediction of fluids in the thermosyphon. This talk will involve several data assimilation methods, including variational techniques, but will focus on LETKF.

  10. JDAS Meeting 11:00 EST - Andy Reagan Master Thesis

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  11. Naratip Santitissadeekorn: An Introduction to Variational Data Assimilation

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  12. Nara - Introduction to Variational Data Assimilation

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  13. JDAS Meeting 11:00 EST

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  14. Colin Grudzien: A Survey of Data Assimilation Applications in Phytoplankton Models

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  15. Colin Grudzien: A Survey of Particle Filter Convergence Results Part 2

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  16. Colin Grudzien: A Survey of Particle Filter Convergence Results Part 1

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  17. Karthik Gurumoorthy: A Review of Particle Filter Methods

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  18. General discussion on connections between DA and Lyapunov stability and short summaries of volunteered readings

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  19. Erik Van Vleck: Computational Techniques for Lyapunov Exponents and Vectors

    In this talk we present computational techniques for Lyapunov exponents and vectors based upon continuous matrix factorizations (QR and SVD). We outline the techniques, their well-posedness, error analysis/perturbation theory, and describe codes we have developed. We then discuss application of these techniques to decoupling/dimension reduction of dissipative differential equations and to assimilation in the unstable subspace.

  20. Xin Tong: Filtering with Noisy Lagrangian Tracers

    An important practical problem is the recovery of a turbulent velocity field from Lagrangian tracers that move with the fluid flow. Despite the inherent nonlinearity in measuring noisy Lagrangian tracers, it is shown that there are exact closed analytic formulas for the optimal filter. When the underlying velocity field is incompressible, the tracers’ distribution converge to the uniform distribution geometrically fast; concrete asymptotic features, such as information barriers, are obtained...