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Science Lecture by Adrian Sandu |
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Date: March 28, 2007
Time: 10:30am
Location: NIA, Rm 137
Additional Information: Speaker Bio | Presentation
New Developments in Chemical Data Assimilation: Computational Tools Adrian Sandu, Virginia Tech
The task of providing an optimal analysis of the state of the atmosphere requires the development of novel computational tools that facilitate an efficient integration of observational data into models. We discuss several new computational tools developed for the assimilation of chemical data into atmospheric models. They include automatic code generation of chemical adjoints, properties of adjoints for advection numerical schemes, calculation of energy singular vectors and their use in placing adaptive observations. Data assimilation results using both variational and ensemble based methods are shown for several real test problems to illustrate the power of the proposed methods.
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