Resources: All

Find a resource
  1. ice x
  2. tippingpoints x
  3. seminar x
  4. dynamicalsystems x
  1. Andy Reagan: Masters Thesis

    23 Mar 2015 | Presentations | Contributor(s): Mary Lou Zeeman

    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....

  2. An Introduction to Variational Data Assimilation

    23 Mar 2015 | Presentations | Contributor(s): Mary Lou Zeeman

    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.

  3. Computational Techniques for Lyapunov Exponents and Vectors

    23 Mar 2015 | Presentations | Contributor(s): Mary Lou Zeeman

    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. Sea Ice Physics and Biology

    18 Mar 2015 | Educational Materials

    Bibliography by S.F.Ackley to accompany tutorial lecture on Biology/Physics Interface in Sea Ice at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate

  5. 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,...

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

    25 Feb 2015 | Presentations | Contributor(s): Mary Lou Zeeman

    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...

  7. Deriving the Shallow Water Model in Geophysical Fluid Dynamics

    01 Jan 2013 | Series | Contributor(s): Laura Slivinski

    These collected lectures go over key concepts in the derivation shallow water model as a conceptual model for ocean dynamics.  The attached PDF notes in the supporting documents expand on these lectures. This short lecture series was part of the MCRN Mathematics of Climate Modelling...