DOI: 10.1016/j.atmosenv.2014.10.017
Scopus记录号: 2-s2.0-84908564406
论文题名: Application of the complex step method to chemistry-transport modeling
作者: Constantin B ; V ; , Barrett S ; R ; H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 99 起始页码: 457
结束页码: 465
语种: 英语
英文关键词: Adjoint
; Chemistry-transport modeling
; Finite difference
; Sensitivity analysis
Scopus关键词: Sensitivity analysis
; Adjoints
; Chemistry transport model
; Complex-step method
; Finite difference method
; adjoint method
; air quality
; atmospheric chemistry
; atmospheric modeling
; atmospheric transport
; chemical composition
; emission control
; finite difference method
; new record
; sensitivity analysis
; air quality
; Article
; atmosphere
; atmospheric transport
; chemical composition
; chemistry
; chemistry transport modeling
; mathematical analysis
; sensitivity analysis
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Sensitivity analysis in atmospheric chemistry-transport modeling is used to develop understanding of the mechanisms by which emissions affect atmospheric chemistry and composition, to quantify the marginal impact of emissions on air quality, and for other applications including improving estimates of emissions, developing fast first order air quality models, and validating adjoint models. Forward modeling sensitivities have predominantly been calculated using the finite difference approach, i.e. where the results of two separate simulations are subtracted. The finite difference approach incurs truncation and cancellation errors, which mean that exact sensitivities cannot be calculated and even approximate sensitivities cannot always be calculated for a sufficiently small perturbation (e.g. for emissions at a single location or time). Other sensitivity methods can provide exact sensitivities, but require the reformulation of non-linear steps (e.g. the decoupled direct method) or the development of adjoints of entire codes (partly automatically and partly manually). While the adjoint approach is widely applied and has significant utility in providing receptor-oriented information, in some applications the source-oriented information of forward approaches is needed. Here we apply an alternative method of calculating sensitivities that results in source-oriented information as with the finite difference approach, requires minimal reformulation of models, but enables near-exact computation of sensitivities. This approach - the complex step method - is applied for the first time to a complete atmospheric chemistry-transport model (GEOS-Chem). (The complex step method has been previously used in validating the adjoint of an aerosol thermodynamic equilibrium model.) We also introduce the idea of combining complex-step and adjoint sensitivity analysis (for the first time in any context to our knowledge) to enable the direct calculation of near-exact second order sensitivities. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80556
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, United States
Recommended Citation:
Constantin B,V,, Barrett S,et al. Application of the complex step method to chemistry-transport modeling[J]. Atmospheric Environment,2014-01-01,99