Tags: research

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  1. Ahliqq Nety

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    http://mcrn.hubzero.org/members/1378

  2. 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

  3. 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...

    http://mcrn.hubzero.org/events/details/30

  4. 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...

    http://mcrn.hubzero.org/resources/63

  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. 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...

    http://mcrn.hubzero.org/resources/59

  7. 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

  8. 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...

    http://mcrn.hubzero.org/resources/43

  9. 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...

    http://mcrn.hubzero.org/events/details/619

  10. 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

  11. 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

  12. 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...

    http://mcrn.hubzero.org/resources/25

  13. 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