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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 |