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...
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...