Computational aspects of chemical data assimilation into atmospheric models

  • Authors:
  • Gregory R. Carmichael;Dacian N. Daescu;Adrian Sandu;Tianfeng Chai

  • Affiliations:
  • Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA;Institute for Mathematics and its Applications, University of Minnesota, Minneapolis, MN;Department of Computer Science, Michigan Technological University, Houghton, MI;Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA

  • Venue:
  • ICCS'03 Proceedings of the 2003 international conference on Computational science
  • Year:
  • 2003

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Abstract

The task of providing aa optimal analysis of the state of the atmosphere requires the development of novel computational tools that facilitate an efficient integeration of observational data into models. In this paper we discuss some of the computational tools developed for the assimilation of chemical data imo atmospheric models. We perform a theoretical analysis of discrete and cominuous 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.