Resources (1-7 of 7)

1. Hybrid EnKF and Particle Filter: Langrangian DA and Parameter Estimation

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   02 Jun 2016 | Contributor(s):: Christopher KRT Jones, naratip santitissadeekorn

   This is a talk delivered at the Imperial College meeting on Stochastic Modeling in GFD, Data Assimilation and Non-equilibrium Phenomena on 11-4-2015.  This talk presents joint research by Chris Jones at UNC-CH and Naratip Santitissandeekorn on hybrid data assimilation methods.

2. Hybrid EnKF and Particle Filter: Lagrangian DA and Parameter Estimation

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   06 Nov 2015 | Contributor(s):: Naratip Santitssadeekorn, Christopher KRT Jones

   Dealing with high dimensional systems is one of the central problems of data assimilation.  A strategy is proposed here for systems that enjoys a skew-product structure.   Christopher Jones, University of North Carolina at Chapel Hill, presents joint work with Naratip...

3. Midwest Mathematics and Climate Conference - Day 1 Afternoon Session

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   12 May 2015 |

   Graham Feingold, National Oceanic & Atmospheric AdministratonDynamical System Analogues to Cloud SystemsShallow convection exhibits fascinating cellular structures at scales of a few to several hundred kilometers. Configurations of relatively cloud free open cell states, or much cloudier...

4. Particle filters for geophysical applications

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   30 Apr 2015 | | Contributor(s):: Javier Amezcua

   Avoiding degeneracy is a crucial challenge for particle filters. Results have shown that the number of particles scales exponentially with respect to the number of independent observations. In this talk I will review attempts to counteract this phenomenon by exploiting proposal densities. I will...

5. Toward a hybrid particle-ensemble Kalman filter for assimilating data from Lagrangian instruments into high dimensional models

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   30 Apr 2015 | | Contributor(s):: Elaine Spiller

   Presented by Elaine Spiller on 3-26-15Abstract:We discuss a recently proposed hybrid particle-ensemble Kalman filter for assimilating Lagrangian data, and apply it to a high-dimensional quasi-geostrophic ocean model. Effectively the hybrid filter applies a particle filter to the highly nonlinear,...

6. An Introduction to Lagrangian Data Assimilation - Part II

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   23 Mar 2015 | | Contributor(s):: Laura Slivinski

   Lauara Slivinski at Woods Hole Oceanographic Institution gives an introduction to Lagrangian Data Assimilation on 11-13-2014.

7. An Introduction to Lagrangian Data Assimilation - Part I

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   23 Mar 2015 | | Contributor(s):: Laura Slivinski

   Laura Slivinski at Woods Hole Oceanographic Institute gives an introduction to Lagrangian Data Assimlation on 10-30-2014.