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  1. 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.  The core method is based on the approach of the analysis step of ensemble square root filters (ETKF), and...

  2. NSF's Science Nation Video on David Holland's field work in Greenland

    18 Mar 2015 | Presentations

    MCRN member and founding principal investigator David Holland was featured in the NSF's Science Nation video, titled, "Mathematician uses skills to study Greenland's retreating glaciers," on September 9,...

  3. 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 analysis/perturbation theory, and describe codes we have developed. We then discuss application of...

  4. An Introduction to Variational Data Assimilation

    23 Mar 2015 | Presentations | Contributor(s): Naratip Santitissadeekorn

    Naratip Santitissadeekorn gives an introductory survey of variational techniques in data assimilation including 3D-VAR and 4D-VAR.  This talk was given on 10-2-14.

  5. 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 several data assimilation methods, including variational techniques, but will focus on LETKF....

  6. 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.

  7. 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.

  8. 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 theLocal Ensemble Kalman Filter (LETKF) and the Thermosphere-Ionosphere-Electrodynamics GlobalCirculation Model (TIEGCM) by assimilating globally distributed electron density profiles. TheTIEGCM is a...

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

  10. Mathematics and Climate Research Network - An Example of a Successful Community-Building Eff ort

    19 Oct 2015 | Presentations | Contributor(s): Hans G Kaper

    Slides Hans Kaper prepared for a talk on October 1, 2015, titled "The Mathematics and Climate Research Network (MCRN) - An Example of a Successful Community-Building Effort."  It was part of the MPE 2013+ Workshop on Education for the Planet Earth of Tomorrow, September...