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  1. Introduction to Projects on the MCRN Hub

    12 Jul 2016 | Presentations | Contributor(s): Colin James Grudzien

    This is a tutorial video demonstrating the main features of projects, including the newsfeed, task assignment and file sharing.

  2. Introduction to Groups on the MCRN Hub Part II

    08 Jul 2016 | Presentations | Contributor(s): Colin James Grudzien

    This is the second of two video tutorials on using groups in the MCRN Hub.  This video will demonstrate how to create a group and manage group settings.

  3. Video Tutorials on the MCRN Hub

    27 Jun 2016 | Series

    These video tutorials will get you and your collaborators started using the MCRN Hub!  See the episode list below to see what topics are covered.

  4. Introduction to Groups on the MCRN Hub Part I

    27 Jun 2016 | Presentations | Contributor(s): Colin James Grudzien

    This is the first of two video tutorials on using groups in the MCRN Hub.  This video will give a tour of the basic functionality of groups while the following video will demonstrate how to create a group and manage group settings.

  5. Introduction to the MCRN Hub

    19 Jun 2016 | Presentations | Contributor(s): Colin James Grudzien

    This video gives a basic overview of the Hub and its features---see other videos for details on how to use the components of the MCRN Hub.

  6. 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 by Chris Jones at UNC-CH and Naratip Santitissandeekorn on hybrid data assimilation methods.

  7. 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.

  8. 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 assimilation techniques based upon shadowing refinement. These techniques employ dimension...

  9. Simple models of the Indian summer monsoon

    04 May 2016 | Presentations | Contributor(s): Amit Apte

    The Indian summer monsoon is a dramatic multiscale, multiphysics event that has a profound impact on the food security of more than a billion people. Predictions for the monsoon rainfall using present-day general circulation models are often wide of the mark, with serious consequences for the...

  10. Chaotic Dynamical Systems

    04 May 2016 | Series | Contributor(s): Christopher KRT Jones

    These collected lectures introduce two classical chaotic dynamical systems - the Bernoulli shift and the Horseshoe map. This short lecture series was part of the MCRN Mathematics of Climate Modelling Course taught at the University of North Carolina by Chris Jones in 2013. This course was a...

  11. Geometric Dynamical Systems: Manifolds and Stability

    04 May 2016 | Series | Contributor(s): Christopher KRT Jones

    These collected lectures go over key concepts in the derivation stable, unstable and neutral manifold theorems. 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 Course taught at the...

  12. Geometric Dynamical Systems: Manifolds and Stability Part I

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This is the first part of a series of dynamical systems lectures on the center, stable and unstable manifold theorems. This short lecture series was part of the MCRN Mathematics of Climate Modelling Course taught at the University of North Carolina by Chris Jones in 2013. This course was a...

  13. Deriving the SWM Lecture 1: Conservation of Potential Vorticity

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This lecture develops the conservation equation for potential vorticity in the shallow water model.

  14. Deriving the SWM Lecture 2: Stream Functions for Velocity Fields

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This lecture develops the formulation of the stream function for the velocity field of the shallow water equation.  his is the second in a series of short lectures on deriving the shallow water model, given by Chris Jones in 2013. 

  15. Deriving the SWM Lecture 3: Barotropic Vorticity Equations

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This lecture develops the barotropic vorticity equations for the shallow water model.  This is background lecture 2.1C in the Mathematics of Climate Modelling course.

  16. Geometric Dynamical Systems: Manifolds and Stability Part II

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This is the second part of a series of dynamical systems lectures on the center, stable and unstable manifold theorems. This is background lecture 3.1B for the Mathematics of Climate Modelling course.

  17. Geometric Dynamical Systems: Manifolds and Stability Part III

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This is the final part of a series of dynamical systems lectures on the center, stable and unstable manifold theorems. This is background lecture 3.1C for the Mathematics of Climate Modelling course.

  18. Chaotic Dynamical Systems: the Bernoulli Shift

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This is the first part of a series of lectures on chaotic dynamics, and focuses on the Bernoulli shift. This short lecture series was part of the MCRN Mathematics of Climate Modelling Course taught at the University of North Carolina by Chris Jones in 2013. This course was a second...

  19. Chaotic Dynamical Systems: the Horseshoe Map

    04 May 2016 | Presentations | Contributor(s): Christopher KRT Jones

    This is the second part of a series of lectures on chaotic dynamics, and focuses on the Horseshoe Map. This short lecture series was part of the MCRN Mathematics of Climate Modelling Course taught at the University of North Carolina by Chris Jones in 2013. This course was a second year graduate...

  20. Vegetation patterns in mathematical models, and vegetation patterns in Horn of Africa

    21 Apr 2016 | Presentations | Contributor(s): Mary Silber, Karna Gowda

    Visually striking large-scale spatial patterns of vegetation have been observed in semi-arid regions in the Americas, Africa and Australia. These have led to suggestions by theoretical ecologists that certain characteristics of the patterns may serve as early-warning signs of desertification....