Research Summaries

Back Observability in Data Assimilation and Optimal Sensor Configuration

Fiscal Year 2010
Division Graduate School of Engineering & Applied Science
Department Applied Mathematics
Investigator(s) Kang, Wei
Sponsor Naval Research Laboratory (Navy)
Summary The objective of this project is to develop and validate mathematical concepts and numerical algorithms for the evaluation and optimal design of sensor configuration in data assimilations. The technical objectives include: (1) define the concepts of observability for the problem of data assimilation; (2) numerically test the concepts using a mid-size model by Monte Carlo Simulations as well as traditional data assimilation methods; (3) developing computational algorithms that are scalable to large size problems; (4) developing problem formulation and computational algorithms for maximizing the observability of forecast models by finding optimal sensor locations.
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