Fiscal Year	2015
Division	Graduate School of Engineering & Applied Science
Department	Applied Mathematics
Investigator(s)	Kang, Wei
Sponsor	Naval Research Laboratory (Navy)
Summary	The proposed research aims at three topics on computational methods for several issues of data assimilation. (i) Analyze the observation impact at optimal sensor locations with maximum observability; data thinning based on the measure of observability; (ii) Explore the methods and algorithms of uncertainty quantification for the estimation of model error in weak-constraint 4D-Var; (iii) Review and explore numerical methods of optimization and parallel algorithms that have significant potential for long-window data assimilation.
Keywords
Publications	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal