Computational Aspects of Chemical Data Assimilation into Atmospheric Models

Gregory R. Carmichael1, Dacian N. Daescu2, Adrian Sandu3, Tianfeng Chai1

1Center for Clobal and Regional Environment Research, 204 IATL, The University of Iowa, Iowa City, IA 52242-1297
gcarmich@cgrer.iiowa.edu

2Institute for Mathematics and its Applications, University of Minnesota, 400 Lind Hall 207 Church Street S.E. Minneapolis, MN 55455
daescu@ima.umn.edu

3Department of Computer Science, Michigan Technological University, 1400 Towsend Drive, Houghton, MI 49931
asandu@mtu.edu

Abstract. 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. In this paper we discuss some of the computational tools developed for the assimilation of chemical data into atmospheric models. We perform a theoretical analysis of discrete and continuous adjoints for stiff differential equation solvers. Software tools particularly tailored for direct and adjoint sensitivity analysis of chemical systems are presented. The adjoint of the state-of-the-art models STEM-III is discussed, together with ozone assimilation results for a realistic test problem.

Key words. Data assimilation, Chemical transport models, Adjoint modeling.

LNCS 2660, pp. 269-278.

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