Project title
ENSEMBLE DATA ASSIMILATION BASED ON CONTROL THEORY
Researchers
- Milija Zupanski, Principal Investigator, Colorado State University
- I. Michael Navon, Principal Investigator, Florida State University
- David Randall, Co-PI, Colorado State University
- Dacian Daescu, Co-PI, Portland State University
- Steven Fletcher, Colorado State University
- Bahri Uzunoglu, Florida State University
- Dusanka Zupanski, Colorado State University
Outside collaborators
- Owe Axelsson
- Geir Evensen
Project description
This is a collaborative project between the Florida State University and Colorado State University, funded by the National Science Foundation, Collaboration in Mathematical Geosciences. Duration of the project is Sep 2003-Aug 2006.
The proposed research addresses the development of new ensemble data assimilation (EnsDA) methodology which efficiently combines the ensemble filtering with control theory. It consists of three major parts:
- Developing new EnsDA methodology;
- Evaluating the impact of various optimization algorithms in EnsDA, with special emphasis on the nonlinear aspects of optimization algorithm;
- Evaluating the impact of nonlinear measurements and non-Gaussian assumption on the quality of the probabilistic EnsDA output.