Journal article
Singular Vector Analysis for Atmospheric Chemical Transport Models
Monthly weather review, Vol.134(9), pp.2443-2465
09/01/2006
DOI: 10.1175/MWR3158.1
Abstract
Abstract The singular vectors of a chemical transport model are the directions of maximum perturbation growth over a finite time interval. They have proved useful for the estimation of error growth, the initialization of ensemble forecasts, and the optimal placement of adaptive observations. The aim of this paper is to address computational aspects of singular vector analysis for atmospheric chemical transport models. The distinguishing feature of these models is the presence of stiff chemical interactions. A projection approach to preserve the symmetry of the tangent linear–adjoint operator for stiff systems is discussed, and extended to 3D chemical transport simulations. Numerical results are presented for a simulation of atmospheric pollution in East Asia in March 2001. The singular values and the structure of the singular vectors depend on the length of the simulation interval, the meteorological data, the location of the optimization region and the selection of optimization species, the choice of error norms, and the size of the optimization region.
Details
- Title: Subtitle
- Singular Vector Analysis for Atmospheric Chemical Transport Models
- Creators
- Wenyuan Liao - Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VirginiaAdrian Sandu - Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VirginiaGregory R Carmichael - Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IowaTianfeng Chai - Center for Global and Regional Environmental Research, University of Iowa, Iowa City, Iowa
- Resource Type
- Journal article
- Publication Details
- Monthly weather review, Vol.134(9), pp.2443-2465
- DOI
- 10.1175/MWR3158.1
- ISSN
- 0027-0644
- eISSN
- 1520-0493
- Language
- English
- Date published
- 09/01/2006
- Academic Unit
- Civil and Environmental Engineering; Nursing; Chemical and Biochemical Engineering
- Record Identifier
- 9984003910202771
Metrics
16 Record Views