Hybrid EnKF and Particle Filter: Langrangian DA and Parameter Estimation
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.
Hybrid EnKF and Particle Filter: Lagrangian DA and Parameter Estimation
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...
Tenure track faculty in math at the University of Maine.
Realistic modeling and analysis of synchronization dynamics in power-grid networks
08 May 2015 | | Contributor(s):: Takashi Nishikawa
An imperative condition for the functioning of a power-grid network is that its power generators remain synchronized. Disturbances can prompt desynchronization, which is a process that has been involved in large power outages. In this talk I will first give a comparative review of three leading...
Statistical Data Assimilation For Parameter Estimation In Costal Ocean Hydrodynamics Modeling
30 Apr 2015 | | Contributor(s):: Talea Mayo
Coastal ocean models are used for a variety of applications, including modeling tides and hurricane storm surge. These models numerically solve the shallow water equations, which are derived by depth integrating the Navier-Stokes equations. The inherent uncertainties in coastal ocean models are a...