2011 Workshop:Student Tutorial on Data Assimilation
Student Tutorial on Data Assimilation
Location, Date/Time and Duration
1 hour changed to 2 hour regular workshop
Conveners (First is CEDAR convener, Second is GEM convener, the rest are co-conveners)
Format of the Workshop
Justification for the workshop
In our 2010 NSF National Space Weather Proposal on Assimilative Mapping we offered to host a student tutorial on data assimilation at the joint CEDAR-GEM meeting. This was called out as a highlight of the funded proposal.
Requested Specific Days
Sunday (student tutorial day) - changed to Monday through Wednesday (gone Thursday-Friday)
Special technology requests
GOAL: Inform students about the basics of data assimilation, and explain step by step how each component (model, observation, principles of statistical inference) works together to yield an optimal analysis. We will also provide examples from specific applications to high-latitude ionospheric electrodynamics.
- Fundamentals of data assimilation (Bayes’ Rule)
- Variance, correlation, and covariance
- Background (empirical) models
- Roles of background and observational error covariance
This presentation will be offered at the “101 Level”, and will emphasize data assimilation techniques for the high latitude ionospheric electrodynamics that do not involve dynamical forecast models.
This joint workshop will be held primarily for the benefit of students but also anyone who is interested in learning basics of data assimilation and space science applications. The basics of data assimilation will be presented step-by-step, how each component (model, observation, principles of statistical inference such as Bayes's rule, covariances etc) works together to yield an optimal analysis. We will offer *three* 30-minute tutorial presentations that cover different DA applications in space sciences, ranging from the ionosphere and high-latitude ionospheric electrodynamics to the radiation belt.
Opening Remarks by Delores Knipp (moderator) - 2 min (mp4 to come)
- Data Assimilation Techniques 101 (and Their Use for Ionospheric Science and Applications) by Ludger Scherliess (Utah State University) - 35 min (mp4 to come)
- Understanding Data Assimilation: Applications to High-Latitude Ionospheric Electrodynamics by Tomoko Matsuo (University of Colorado, SWPC/NOAA) - 23 min (mp4 to come)
- Radiation Belt Data Assimilation: Overview and Challenges by Josef Koller and Humberto Godinez (Los Alamos National Laboratory) - 30 min (mp4 to come)
- Ionospheric Imaging and Data Assimilation by Gary S Bust (Atmospheric & Space Technology Research Associates) - 20 min (mp4 to come)
OPEN DISCUSSION & QUESTIONS
This is where the final summary workshop report will be.
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