HR: 13:55h
AN: A33F-02 INVITED     [Abstracts]
TI: New Developments in Chemical Data Assimilation: Computational Tools
AU: * Sandu, A
EM: sandu@cs.vt.edu
AF: Computer Science Department, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060 United States
AU: Charmichael, G R
EM: gcarmich@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 50460 United States
AU: Chai, T
EM: tchai@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 50460 United States
AU: Constantinescu, E
EM: emconsta@vt.edu
AF: Computer Science Department, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060 United States
AU: Liao, W
EM: liao@cs.vt.edu
AF: Computer Science Department, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060 United States
AB: 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.
DE: 0322 Constituent sources and sinks
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005