Research Summaries

Back Computational Methods and Nonlinear Filters for Data Assimilation

Fiscal Year 2019
Division Graduate School of Engineering & Applied Science
Department Applied Mathematics
Investigator(s) Kang, Wei
Sponsor Naval Research Laboratory (Navy)
Summary The proposed research of the one-year project aims at a comprehensive study of sparsity matrices in Kalman filters for data assimilation, including proved theorems on the covariance sparsity, algorithm design, and numerical experimentations.
Keywords Data Assimilation Kalman Filter NWP
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