
A Tutorial on Kalman Filters
01 Jun 2016  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 1072015.

An application of Lagrangian data assimilation to Katama Bay, MA
02 Feb 2016   Contributor(s):: Laura Slivinski
Data assimilation is the process of combining predictions from numerical models with observations of the system. Fully Lagrangian data assimilation seeks to directly assimilate trajectories from drifters into some circulation model. This talk will provide a brief overview of Lagrangian data...

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 10302014.

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 11132014.

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 3DVAR and 4DVAR. This talk was given on 10214.

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....

Complex Energy Systems
07 May 2015   Contributor(s):: Michael Chertkov
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...

Complex Phytoplankton Dynamics: The Mathematical Perspective
04 May 2015   Contributor(s):: Arjen Doelman, Antonios Zagaris
Bibliography by Arjen Doelman and Antonios Zagaris to accompany tutorial lecture on PhytoplanktonNutrient Modeling at the 2011 MBI Workshop on Ocean Ecologies and their Physical Habitats in a Changing Climate, and the followon lectures on Phytoplankton growth in oligotrophic oceans: Linear...

Correlated Observation Errors in Data Assimilation
30 Apr 2015   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...

Data assimilation for extreme ionospheric events: observing system experiments of the September 26, 2011 geomagnetic storm
14 Apr 2016   Contributor(s):: Juan Durazo
As increasingly sophisticated ground and spacebased technological systems that depend on the nearEarth space environment are being built, vulnerabilities to variations in the ionosphere are also increasing. These vulnerabilities are especially prominent during extreme spaceweather events,...

Emulators in climate science. Uncertainty, sensitivity, calibration and more
30 Apr 2015   Contributor(s):: Peter Challenor
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...

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 2182015 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...

Hybrid Data Assimilation Techniques and Applications
25 May 2016   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 reduction...

Hybrid EnKF and Particle Filter: Lagrangian DA and Parameter Estimation
06 Nov 2015   Contributor(s):: Naratip Santitssadeekorn, Christopher KRT Jones
Dealing with high dimensional systems is one of the central problems of data assimilation. A strategy is proposed here for systems that enjoys a skewproduct structure. Christopher Jones, University of North Carolina at Chapel Hill, presents joint work with Naratip...

Hybrid EnKF and Particle Filter: Langrangian DA and Parameter Estimation
02 Jun 2016   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 Nonequilibrium Phenomena on 1142015. This talk presents joint research by Chris Jones at UNCCH and Naratip Santitissandeekorn on hybrid data assimilation methods.

IMA Hot Topics Workshop: Predictability in Earth System Processes
09 May 2015 
A major question facing climate modeling is how best to incorporate data into models. As climate models increase in complexity, their results become correspondingly intricate. Such models represent climate processes spanning multiple spatial and temporal scales and must relate disparate physical...

Ionospheric weather forecasting using the LETKF
23 Mar 2015   Contributor(s):: Juan Durazo
We track the threedimensional global distribution of electron density in the ionosphere using theLocal Ensemble Kalman Filter (LETKF) and the ThermosphereIonosphereElectrodynamics GlobalCirculation Model (TIEGCM) by assimilating globally distributed electron density profiles. TheTIEGCM is a...

Midwest Mathematics and Climate Conference
12 May 2015 
The conference is sponsored by the National Science Foundation, Institute of Mathematics and Its Applications, the Office of Research,College of Liberal Arts and Sciences, and the Department of Mathematics, Department of Geography/Atmospheric Science Program, and The...

Midwest Mathematics and Climate Conference  Day 1 Afternoon Session
12 May 2015 
Graham Feingold, National Oceanic & Atmospheric AdministratonDynamical System Analogues to Cloud SystemsShallow convection exhibits fascinating cellular structures at scales of a few to several hundred kilometers. Configurations of relatively cloud free open cell states, or much cloudier...

Midwest Mathematics and Climate Conference  Day 2 Morning Session
12 May 2015 
Juan Restrepo, Oregon State UniversityData AssimilationAccounting for uncertainties has led us to alter our expectations of what is predictable and how such predictions compare to nature. A significant effort, in recent years, has been placed on creating new uncertainty quantification techniques,...