DOI: 10.1002/jgrd.50685
论文题名: Modal Bin Hybrid Model: A surface area consistent, triple-moment sectional method for use in process-oriented modeling of atmospheric aerosols
作者: Kajino M. ; Easter R.C. ; Ghan S.J.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 17 起始页码: 10011
结束页码: 10040
语种: 英语
英文关键词: aerosol dynamics
; aerosol mixing state
; cloud condensation nuclei
; multiple category approach
; sectional and modal methods
; wet deposition
Scopus关键词: Atmospheric aerosols
; Condensation
; Dynamics
; Mixing
; Aerosol dynamics
; Aerosol mixing
; Cloud condensation nuclei
; Modal method
; multiple category approach
; Wet deposition
; Bins
; aerosol
; atmospheric deposition
; cloud condensation nucleus
; coagulation
; diameter
; mass transfer
; numerical model
; particle size
; size distribution
英文摘要: A triple-moment sectional (TMS) aerosol dynamics model, Modal Bin Hybrid Model (MBHM), has been developed. In addition to number and mass (volume), surface area is predicted (and preserved), which is important for aerosol processes and properties such as gas-to-particle mass transfer, heterogeneous reaction, and light extinction cross section. The performance of MBHM was evaluated against double-moment sectional (DMS) models with coarse (BIN4) to very fine (BIN256) size resolutions for simulating evolution of particles under simultaneously occurring nucleation, condensation, and coagulation processes (BINx resolution uses x sections to cover the 1 nm to 1 μm size range). Because MBHM gives a physically consistent form of the intrasectional distributions, errors and biases of MBHM at BIN4-8 resolution were almost equivalent to those of DMS at BIN16-32 resolution for various important variables such as the moments Mk (k: 0, 2, 3), dMk /dt, and the number and volume of particles larger than a certain diameter. Another important feature of MBHM is that only a single bin is adequate to simulate full aerosol dynamics for particles whose size distribution can be approximated by a single lognormal mode. This flexibility is useful for process-oriented (multicategory and/or mixing state) modeling: Primary aerosols whose size parameters would not differ substantially in time and space can be expressed by a single or a small number of modes, whereas secondary aerosols whose size changes drastically from 1 to several hundred nanometers can be expressed by a number of modes. Added dimensions can be applied to MBHM to represent mixing state or photochemical age for aerosol mixing state studies. Key Points Modal Bin Hybrid Model is a three moment sectional aerosol dynamics modelMBHM is as accurate as a two moment bin model with four times as many binsOne bin is adequate to simulate aerosol dynamics for a single lognormal mode ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63329
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Atmospheric Environment and Applied Meteorology Research Department, Meteorological Research Institute, Japan Meteorological Agency, 1-1 Nagamine, Tsukuba 305-0052, Japan; Pacific Northwest National Laboratory, Richland, WA, United States
Recommended Citation:
Kajino M.,Easter R.C.,Ghan S.J.. Modal Bin Hybrid Model: A surface area consistent, triple-moment sectional method for use in process-oriented modeling of atmospheric aerosols[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(17)