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Computational Science — ICCS 2003

Volume 2660 of the series Lecture Notes in Computer Science pp 269-278

Date:

Computational Aspects of Chemical Data Assimilation into Atmospheric Models

  • Gregory R. CarmichaelAffiliated withCenter for Global and Regional Environmental Research, The University of lowa
  • , Dacian N. DaescuAffiliated withInstitute for Mathematics and its Applications, University of Minnesota
  • , Adrian SanduAffiliated withDepartment of Computer Science, Michigan Technological University
  • , Tianfeng ChaiAffiliated withCenter for Global and Regional Environmental Research, The University of lowa

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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 model STEM-III is discussed, together with ozone assimilation results for a realistic test problem.

Keywords

Data assimilation Chemical transport models Adjoint modeling