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Activity Number: 87
Type: Invited
Date/Time: Sunday, August 3, 2014 : 8:30 PM to 10:30 PM
Sponsor: Section on Statistics and the Environment
Abstract #313703
Title: Visualization of Data Assimilation Methods
Author(s): Barbara A. Bailey*+ and Colette Smirniotis
Companies: San Diego State University and San Diego State University
Keywords:
Abstract:

Data assimilation is the process of combining observations with the output from physics- based numerical models and is used for the purpose of updating and improving forecasts. Data assimilation problems are most common in atmospheric and ocean data applications. There has been an increase in the amount of available real time observed ocean and atmospheric data as well as advances in deterministic ocean and atmospheric models, which makes Monte Carlo statistical methods ready for advancing the field of data assimilation. The project will focus on visualizing and understanding and the Kalman and Ensemble Kalman Filter methods for data assimilation.


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