Tags: kalman filter

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  1. 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...

    http://mcrn.hubzero.org/resources/599

  2. A Tutorial on Kalman Filters

    01 Jun 2016 | Presentations | Contributor(s): Colin James Grudzien

    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.

    http://mcrn.hubzero.org/resources/597

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

    14 Apr 2016 | Presentations | Contributor(s): Juan Durazo

    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...

    http://mcrn.hubzero.org/resources/550

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

    06 Nov 2015 | Presentations | 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....

    http://mcrn.hubzero.org/resources/436

  5. 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 Abstract: We discuss a recently proposed hybrid particle-ensemble Kalman filter for assimilating Lagrangian data, and apply it to a high-dimensional...

    http://mcrn.hubzero.org/resources/61

  6. 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...

    http://mcrn.hubzero.org/resources/55

  7. 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...

    http://mcrn.hubzero.org/resources/37

  8. An Introduction to Lagrangian Data Assimilation - Part II

    23 Mar 2015 | Presentations | Contributor(s): Laura Slivinski

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

    http://mcrn.hubzero.org/resources/35

  9. An Introduction to Lagrangian Data Assimilation - Part I

    23 Mar 2015 | Presentations | Contributor(s): Laura Slivinski

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

    http://mcrn.hubzero.org/resources/33

  10. 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...

    http://mcrn.hubzero.org/resources/29

  11. 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  Abstract: A novel approach to account for model noise in the forecast step of the Ensemble Kalman filter (EnKF) is proposed. ...

    http://mcrn.hubzero.org/resources/14