Tags: data assimilation

Resources (21-27 of 27)

  1. Ionospheric weather forecasting using the LETKF

    23 Mar 2015 | | 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...

  2. An Introduction to Lagrangian Data Assimilation - Part II

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

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

  3. An Introduction to Lagrangian Data Assimilation - Part I

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

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

  4. Andy Reagan: Masters Thesis

    23 Mar 2015 | | 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....

  5. An Introduction to Variational Data Assimilation

    23 Mar 2015 | | 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.

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

    18 Mar 2015 |

    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,...

  7. Extending the square root method to account for model noise in the ensemble Kalman filter

    25 Feb 2015 | | 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...