Tags: data assimilation

All Categories (1-20 of 52)

  1. Jun 20 2016

    11th International Ensemble Kalman Filter Workshop

    The ensemble Kalman filter (EnKF) and its many variants have been proven effective for data assimilation in large models, including those in atmospheric, oceanic, hydrologic, and petroleum...

    http://mcrn.hubzero.org/events/details/1911

  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. 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

  4. Hybrid Data Assimilation Techniques and Applications

    25 May 2016 | Presentations | Contributor(s): Erik Van Vleck

    Data assimilation provides a framework for incorporating data or observations into models for both state space and parameter estimation. In this talk we discuss the development of some hybrid data...

    http://mcrn.hubzero.org/resources/583

  5. Matthew Hoffman

    http://mcrn.hubzero.org/members/1238

  6. 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

  7. AMS Special Session on Challenges in Data Assimilation and the Mathematics of Planet Earth and Its Climate

    Collections | 15 Mar 2016 | Posted by Karna Gowda

    http://mcrn.hubzero.org/groups/members/collections/mcrn-workshops-and-minisymposia

  8. An application of Lagrangian data assimilation to Katama Bay, MA

    02 Feb 2016 | Presentations | Contributor(s): Laura Slivinski

    Data assimilation is the process of combining predictions from numerical models with observations of the system. Fully Lagrangian data assimilation seeks to directly assimilate trajectories from...

    http://mcrn.hubzero.org/resources/521

  9. 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

  10. Sarah Louise Dance

    http://mcrn.hubzero.org/members/1170

  11. 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).

    http://mcrn.hubzero.org/resources/416

  12. 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).

    http://mcrn.hubzero.org/resources/418

  13. John Maclean

    http://mcrn.hubzero.org/members/1152

  14. Sep 07 2015

    EMS/ECAC conference

    The overall theme of the 15th Annual Meeting of the European Meteorological Society (EMS) and the 12th European Conference on Applications of Meteorology (ECAM) is High impact weather and...

    http://mcrn.hubzero.org/events/details/645

  15. Aneesh C Subramanian

    http://mcrn.hubzero.org/members/1133

  16. Suman Acharyya

    http://mcrn.hubzero.org/members/1128

  17. Sean Crowell

    http://mcrn.hubzero.org/members/1112

  18. Kody JH Law

    Kody Law is a staff research scientist in the Computational Applied Math group at Oak Ridge National Laboratory.  He received his PhD in Mathematics from the University of Massachusetts in...

    http://mcrn.hubzero.org/members/1110

  19. Alberto Carrassi

    http://mcrn.hubzero.org/members/1106

  20. Trevor Joseph Gionet

    http://mcrn.hubzero.org/members/1097