Arid
DOI10.1029/2005JD006092
Coupling aerosol size distributions and size-resolved hygroscopicity to predict humidity-dependent optical properties and cloud condensation nuclei spectra
Gasparini, R; Collins, DR; Andrews, E; Sheridan, PJ; Ogren, JA; Hudson, JG
通讯作者Gasparini, R
来源期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2006
卷号111期号:D5
英文摘要

[1] Aerosol size distributions and size-resolved hygroscopicity were measured with a Differential Mobility Analyzer/Tandem Differential Mobility Analyzer (DMA/TDMA) system during the May 2003 Atmospheric Radiation Measurement Program ( ARM) Aerosol Intensive Operational Period (IOP) at a rural site in northern Oklahoma. Size and hygroscopicity information were combined in order to model the aerosol as a population of multicomponent particles, each consisting of organic carbon, elemental carbon, mineral dust, ammonium sulfate, and water, or some subset of these components. Comparisons of both derived optical properties and derived cloud condensation nuclei (CCN) spectra with direct measurements are used to provide independent validation of this multicomponent aerosol model. The aerosol hygroscopic growth factor, f(RH), relating total submicron scattering at high relative humidity to that at low relative humidity, is predicted with this aerosol model. The f( RH) values computed using measurements made with the Aerosol Observing System are closer to those predicted when the hygroscopic fraction of the aerosol is assumed to be in the metastable state than to those values predicted assuming the aerosol is crystalline. Overpredictions of f( RH) are generally limited to the measured f( RH) plus 0.15 over the RH range from 40 to 80% RH. Underpredictions are enhanced at RH greater than similar to 65%, suggesting underestimation of the increase in scattering enhancement with increasing RH. The multicomponent aerosol model is also used to predict the cumulative and differential critical supersaturation distributions of the aerosol population. The resulting derived CCN spectra are compared to spectra measured directly with two Desert Research Institute (DRI) CCN spectrometers. Among the 1490 pairs of DMA/TDMA-predicted and DRI-measured CCN concentrations at various critical supersaturations from 0.02 - 1.05%, the sample number-weighted mean R-2 value for the linear regressions is 0.74. CCN concentrations are slightly overpredicted at both the lowest ( 0.02 - 0.04%) and highest ( 0.80 - 1.05%) supersaturations measured. Overall, the multicomponent aerosol model based on the measurements of size distributions and size-resolved hygroscopicity yields reasonable predictions of the humidity-dependent optical properties and of the CCN spectra of the aerosol.


类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000236270400002
WOS关键词PARTICLE SIZE ; CCN ; DELIQUESCENCE ; CRYSTALLIZATION ; NEPHELOMETER ; SPECTROMETER ; VERIFICATION ; SENSITIVITY ; DROPLETS ; CLOSURE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
来源机构Desert Research Institute
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/152184
作者单位(1)Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA;(2)NOAA, Earth Syst Res Lab, Aerosols Grp, Global Monitoring Div, Boulder, CO 80305 USA;(3)Univ Nevada, Desert Res Inst, Div Atmospher Sci, Reno, NV 89512 USA
推荐引用方式
GB/T 7714
Gasparini, R,Collins, DR,Andrews, E,et al. Coupling aerosol size distributions and size-resolved hygroscopicity to predict humidity-dependent optical properties and cloud condensation nuclei spectra[J]. Desert Research Institute,2006,111(D5).
APA Gasparini, R,Collins, DR,Andrews, E,Sheridan, PJ,Ogren, JA,&Hudson, JG.(2006).Coupling aerosol size distributions and size-resolved hygroscopicity to predict humidity-dependent optical properties and cloud condensation nuclei spectra.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,111(D5).
MLA Gasparini, R,et al."Coupling aerosol size distributions and size-resolved hygroscopicity to predict humidity-dependent optical properties and cloud condensation nuclei spectra".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 111.D5(2006).
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