scholarly journals Air-Sea exchange of biogenic volatile organic compounds and the impact on aerosol particle size distributions

2017 ◽  
Vol 44 (8) ◽  
pp. 3887-3896 ◽  
Author(s):  
Michelle J. Kim ◽  
Gordon A. Novak ◽  
Matthew C. Zoerb ◽  
Mingxi Yang ◽  
Byron W. Blomquist ◽  
...  
Keyword(s):  
Particle Size ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Aerosol Particle ◽  
Size Distributions ◽  
Biogenic Volatile Organic Compounds ◽  
Particle Size Distributions ◽  
Volatile Organic ◽  
Aerosol Particle Size ◽  
The Impact

scholarly journals Characterising the evaporation kinetics of water and semi-volatile organic compounds from viscous multicomponent organic aerosol particles

2017 ◽  
Vol 19 (47) ◽  
pp. 31634-31646 ◽  
Author(s):  
Stephen Ingram ◽  
Chen Cai ◽  
Young-Chul Song ◽  
David R. Glowacki ◽  
David O. Topping ◽  
...  
Keyword(s):  
Particle Size ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Aerosol Particle ◽  
Aerosol Particles ◽  
Organic Aerosol ◽  
Volatile Organic ◽  
Aerosol Particle Size ◽  
Kinetics Of ◽  
Evaporation Kinetics

Here we present methods to simultaneously investigate diffusivities and volatilities in studies of evolving single aerosol particle size and composition.

scholarly journals Sensitivity of biogenic volatile organic compounds to land surface parameterizations and vegetation distributions in California

2016 ◽  
Vol 9 (5) ◽  
pp. 1959-1976 ◽  
Author(s):  
Chun Zhao ◽  
Maoyi Huang ◽  
Jerome D. Fast ◽  
Larry K. Berg ◽  
Yun Qian ◽  
...  
Keyword(s):  
Air Quality ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Land Surface ◽  
Aerosol Formation ◽  
Biogenic Volatile Organic Compounds ◽  
Vegetation Map ◽  
Near Surface ◽  
Volatile Organic ◽  
The Impact

Abstract. Current climate models still have large uncertainties in estimating biogenic trace gases, which can significantly affect atmospheric chemistry and secondary aerosol formation that ultimately influences air quality and aerosol radiative forcing. These uncertainties result from many factors, including uncertainties in land surface processes and specification of vegetation types, both of which can affect the simulated near-surface fluxes of biogenic volatile organic compounds (BVOCs). In this study, the latest version of Model of Emissions of Gases and Aerosols from Nature (MEGAN v2.1) is coupled within the land surface scheme CLM4 (Community Land Model version 4.0) in the Weather Research and Forecasting model with chemistry (WRF-Chem). In this implementation, MEGAN v2.1 shares a consistent vegetation map with CLM4 for estimating BVOC emissions. This is unlike MEGAN v2.0 in the public version of WRF-Chem that uses a stand-alone vegetation map that differs from what is used by land surface schemes. This improved modeling framework is used to investigate the impact of two land surface schemes, CLM4 and Noah, on BVOCs and examine the sensitivity of BVOCs to vegetation distributions in California. The measurements collected during the Carbonaceous Aerosol and Radiative Effects Study (CARES) and the California Nexus of Air Quality and Climate Experiment (CalNex) conducted in June of 2010 provided an opportunity to evaluate the simulated BVOCs. Sensitivity experiments show that land surface schemes do influence the simulated BVOCs, but the impact is much smaller than that of vegetation distributions. This study indicates that more effort is needed to obtain the most appropriate and accurate land cover data sets for climate and air quality models in terms of simulating BVOCs, oxidant chemistry and, consequently, secondary organic aerosol formation.

scholarly journals Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data

2018 ◽  
Vol 10 (11) ◽  
pp. 1753 ◽  
Author(s):  
Huige Di ◽  
Qiyu Wang ◽  
Hangbo Hua ◽  
Siwen Li ◽  
Qing Yan ◽  
...  
Keyword(s):  
Particle Size ◽  
Aerosol Particle ◽  
Inversion Method ◽  
Lidar Data ◽  
Normal Distribution Function ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Base Function ◽  
Aerosol Particle Size ◽  
Particle Parameters

The use of Raman and high-spectral lidars enables measurements of a stratospheric aerosol extinction profile independent of backscatter, and a multi-wavelength (MW) lidar can obtain additional information that can aid in retrieving the microphysical characteristics of the sampled aerosol. The inversion method for retrieving aerosol particle size distributions and microphysical particle parameters from MW lidar data was studied. An inversion algorithm for retrieving aerosol particle size distributions based on the regularization method was established. Based on the inversion of regularization, the inversion method was optimized by choosing the base function closest to the aerosol distribution. The logarithmic normal distribution function was selected over the triangle function as the base function for the inversion. The averaging procedure was carried out for three main types of aerosol. The 1% averaging result near the minimum of the discrepancy gave the best estimate of the particle parameters. The accuracy and stabilization of the optimized algorithm for microphysical parameters were tested by scores of aerosol size distributions. The systematic effects and random errors impacting the inversion were also considered, and the algorithm was tested by the data, showing 10% systematic error and 15% random error. At the same time, the reliability of the proposed algorithm was also verified by using the aerosol particle size distribution data of the aircraft. The inversion results showed that the algorithm was reliable in retrieving the aerosol particle size distributions at vertical heights using lidar data.

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