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  1. A Survey of Grid Control and Optimization

    07 May 2015 | Presentations

    This is an introductory survey of how control problems arise on different time scales in electric grid transmission problems.  The set up and general form of such problems are considered, along with operational considerations.

  2. A Tutorial on Kalman Filters

    01 Jun 2016 | Presentations

    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.

  3. An Introduction to Lagrangian Data Assimilation - Part I

    23 Mar 2015 | Presentations

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

  4. An Introduction to Lagrangian Data Assimilation - Part II

    23 Mar 2015 | Presentations

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

  5. An Introduction to Variational Data Assimilation

    23 Mar 2015 | Presentations

    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. Andy Reagan: Masters Thesis

    23 Mar 2015 | Presentations

    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....

  7. Biology, Chemistry, and Physics of Biofilms: Survey of basics

    04 May 2015 | Educational Materials

    Bibliography by Isaac Klapper to accompany tutorial lecture on Modeling of Microbial Biofilms and Mats at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate

  8. Complex Energy Systems

    07 May 2015 | Presentations

    This is the opening guest lecture for the Electric Grid Focus Group.  Dr. Michael Chertkov of Los Alamos National Lab describes the statistical and mathematical problems arising in complex energy systems, including the electric grid and gas networks.  Systems with high penetration of...

  9. Complex Energy Systems

    07 May 2015 | Presentations

    This is the opening guest lecture for the Electric Grid Focus Group.  Dr. Michael Chertkov of Los Alamos National Lab describes the statistical and mathematical problems arising in complex energy systems, including the electric grid and gas networks.  Systems with high penetration of...

  10. Complex Phytoplankton Dynamics: The Mathematical Perspective

    04 May 2015 | Educational Materials | Contributor(s): Arjen Doelman, Antonios Zagaris

    Bibliography by Arjen Doelman and Antonios Zagaris to accompany tutorial lecture on Phytoplankton-Nutrient Modeling at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate, and the follow-on lectures on Phytoplankton growth in oligotrophic oceans: Linear...

  11. Complex Phytoplankton Dynamics: The Mathematical Perspective

    04 May 2015 | Educational Materials

    Bibliography by Arjen Doelman and Antonios Zagaris to accompany tutorial lecture on Phytoplankton-Nutrient Modeling at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate, and the follow-on lectures on Phytoplankton growth in oligotrophic oceans: Linear...

  12. Complex Phytoplankton Dynamics: The Mathematical Perspective

    04 May 2015 | Educational Materials

    Bibliography by Arjen Doelman and Antonios Zagaris to accompany tutorial lecture on Phytoplankton-Nutrient Modeling at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate, and the follow-on lectures on Phytoplankton growth in oligotrophic oceans: Linear...

  13. Correlated Observation Errors in Data Assimilation

    30 Apr 2015 | Presentations

    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...

  14. Data assimilation for extreme ionospheric events: observing system experiments of the September 26, 2011 geomagnetic storm

    14 Apr 2016 | Presentations

    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 also increasing. These vulnerabilities are especially prominent during extreme space-weather events,...

  15. Deriving the Shallow Water Model in Geophysical Fluid Dynamics

    01 Jan 2013 | Series

    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...

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

    04 May 2016 | Presentations

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

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

    04 May 2016 | Presentations

    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. 

  18. Deriving the SWM Lecture 3: Barotropic Vorticity Equations

    04 May 2016 | Presentations

    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.

  19. Emulators in climate science. Uncertainty, sensitivity, calibration and more

    30 Apr 2015 | Presentations

    An emulator or a surrogate is a statistical approximation of a complex numerical model. Emulators are fast to run and include a measure of their own uncertainty. This makes them suitable for a number of applications in climate science. Emulators were originally devised for uncertainty...

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

    25 Feb 2015 | Presentations

    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...