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MCRN

Statistical Data Assimilation For Parameter Estimation In Costal Ocean Hydrodynamics Modeling

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 re…
  • Resource Presentations
MCRN

Hybrid EnKF and Particle Filter: Lagrangian DA and Parameter Estimation

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 Santitssadeekorn to the Stochastic…
  • Resource Presentations
MCRN

Realistic modeling and analysis of synchronization dynamics in power-grid networks

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 mode…
  • Resource Presentations
MCRN

Hybrid EnKF and Particle Filter: Langrangian DA and Parameter Estimation

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. This is a talk delivere…
  • Resource Presentations
QUBES

Disease Spread Simulation with M&M's and Information on the wider SIMIODE community

This resource has been updated - find the current version here: https://qubeshub.org/publications/358This is a Student Version of a Modeling Scenario from the community, SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations at www.simiode.org. (We en…
  • Resource Teaching & Reference Material

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