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

    02 Jun 2016

    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. A Tutorial on Kalman Filters

    01 Jun 2016

    This is an introduction to the Kalman filter, explaining some underlying assumptions, use and extensions of the method.This talk was given on 10-7-2015.

  3. Data assimilation for extreme ionospheric events: observing system experiments of the September 26, 2011 geomagnetic storm

    14 Apr 2016 | Presentations

    As increasingly sophisticated ground- and space-based technological systems that depend on the near-Earth space environment are being built, vulnerabilities to variations in the ionosphere are also increasing. These vulnerabilities are especially prominent during extreme space-weather events,...

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

    06 Nov 2015 | Presentations

    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...

  5. OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models

    20 Sep 2015 | Educational Materials

    A comparison of different optimization techniques for parameter estimation for a very simple ecosystem model (2 ODEs).

  6. The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data

    20 Sep 2015 | Educational Materials

    A comparison of parameter estimation techniques for a simplified ecosystem model.  A follow-on to the OpTIC study with a more complex model (DALEC).

  7. Midwest Mathematics and Climate Conference - Day 2 Morning Session

    12 May 2015 | Presentations

    Juan Restrepo, Oregon State UniversityData AssimilationAccounting for uncertainties has led us to alter our expectations of what is predictable and how such predictions compare to nature. A significant effort, in recent years, has been placed on creating new uncertainty quantification techniques,...

  8. Midwest Mathematics and Climate Conference

    12 May 2015 | Workshops

    The conference is sponsored by the National Science Foundation, Institute of Mathematics and Its Applications, the Office of Research,College of Liberal Arts and Sciences, and the Department of Mathematics, Department of Geography/Atmospheric Science Program, and The...

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

    12 May 2015 | Presentations

    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...

  10. IMA Hot Topics Workshop: Predictability in Earth System Processes

    09 May 2015 | Workshops

    A major question facing climate modeling is how best to incorporate data into models. As climate models increase in complexity, their results become correspondingly intricate. Such models represent climate processes spanning multiple spatial and temporal scales and must relate disparate physical...

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

    08 May 2015 | Presentations

    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...

  12. Complex Energy Systems

    07 May 2015 | Presentations

    This is the opening guest lecture for the Electric Grid Focus Group.  Dr. Michael Chertkov of Los Alamos National Lab describes the statistical and mathematical problems arising in complex energy systems, including the electric grid and gas networks.  Systems with high penetration of...

  13. Complex Phytoplankton Dynamics: The Mathematical Perspective

    04 May 2015 | Educational Materials

    Bibliography by Arjen Doelman and Antonios Zagaris to accompany tutorial lecture on Phytoplankton-Nutrient Modeling at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate, and the follow-on lectures on Phytoplankton growth in oligotrophic oceans: Linear...

  14. Particle filters for geophysical applications

    30 Apr 2015 | Presentations

    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...

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

    30 Apr 2015 | Presentations

    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,...

  16. Emulators in climate science. Uncertainty, sensitivity, calibration and more

    30 Apr 2015 | Presentations

    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 number of applications in climate science. Emulators were originally devised for uncertainty...

  17. Statistical Data Assimilation For Parameter Estimation In Costal Ocean Hydrodynamics Modeling

    30 Apr 2015 | Presentations

    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...

  18. Correlated Observation Errors in Data Assimilation

    30 Apr 2015 | Presentations

    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 often used with data thinning methods, resulting in a loss of information, and reduction in analysis...

  19. An Introduction to Lagrangian Data Assimilation - Part II

    23 Mar 2015 | Presentations

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

  20. An Introduction to Lagrangian Data Assimilation - Part I

    23 Mar 2015 | Presentations

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