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Hybrid EnKF and Particle Filter: Langrangian DA and Parameter Estimation
02 Jun 2016 | Presentations | 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...
Feb 01 2016
Intensive Research Programme on Advances in Nonsmooth Dynamics
A 3-month research program on Advances in Nonsmooth Dynamics will be held from 1 February - 29 April 2016 at the Centre de Recerca Matematica (CRM) in Barcelona.Goals:This program will take stock...
Particle filters for geophysical applications
30 Apr 2015 | Presentations | 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...
Toward a hybrid particle-ensemble Kalman filter for assimilating data from Lagrangian instruments into high dimensional models
30 Apr 2015 | Presentations | Contributor(s): Elaine Spiller
Presented by Elaine Spiller on 3-26-15
We discuss a recently proposed hybrid particle-ensemble Kalman filter for assimilating Lagrangian data, and apply it to a high-dimensional...
Emulators in climate science. Uncertainty, sensitivity, calibration and more
30 Apr 2015 | Presentations | Contributor(s): Peter Challenor
An emulator or a surrogate is a statistical approximation of a complex numerical model. Emulators are fast to run and include a measure of their own uncertainty. This makes them suitable for a...
Statistical Data Assimilation For Parameter Estimation In Costal Ocean Hydrodynamics Modeling
30 Apr 2015 | Presentations | 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...
Correlated Observation Errors in Data Assimilation
30 Apr 2015 | Presentations | Contributor(s): Sarah Dance
Remote sensing observations often have correlated errors, but the correlations are typically ignored in data assimilation for numerical weather prediction. The assumption of zero correlations is...
Apr 27 2015
Multiscale modeling of the food system workshop
Organized by John Ingram and Mary Lou Zeeman, this workshop- sponsored by AIM and the NSF- is devoted to developing a conceptual model of the U.S. food system, and elaborating a research agenda...
Ionospheric weather forecasting using the LETKF
23 Mar 2015 | Presentations | Contributor(s): Juan Durazo
We track the three-dimensional global distribution of electron density in the ionosphere using the
Local Ensemble Kalman Filter (LETKF) and the Thermosphere-Ionosphere-Electrodynamics...
Andy Reagan: Masters Thesis
23 Mar 2015 | Presentations | Contributor(s): Andy Reagan
Andy Reagan at UVM gives 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...
Computational Techniques for Lyapunov Exponents and Vectors
23 Mar 2015 | Presentations | Contributor(s): Erik Van Vleck
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...
Extending the square root method to account for model noise in the ensemble Kalman filter
25 Feb 2015 | Presentations | Contributor(s): Patrick Raanes
Presented by Patrick Raanes on 2-18-2015
A novel approach to account for model noise in the forecast step of the Ensemble Kalman filter (EnKF) is proposed. ...