Cloud condensation nuclei characteristics at the Southern Great Plains site: role of particle size distribution and aerosol hygroscopicity

Patel, Piyushkumar N.; Jiang, Jonathan H.

doi:10.1088/2515-7620/ac0e0b

Cloud condensation nuclei characteristics at the Southern Great Plains site: role of particle size distribution and aerosol hygroscopicity

Journal Article · Mon Jul 05 00:00:00 EDT 2021 · Environmental Research Communications

DOI:https://doi.org/10.1088/2515-7620/ac0e0b· OSTI ID:1810754

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California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL); Universities Space Research Association, Columbia, MD (United States)
California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)

The activation ability of aerosols as cloud condensation nuclei (CCN) is crucial in climate and hydrological cycle studies, but their properties are not well known. We investigated the long-term measurements of atmospheric aerosol properties, CCN concentrations (N_CCN) at supersaturation (SS = 0.1%–1.0%), and hygroscopicity at the Department of Energy's Southern Great Plains (SGP) site to illustrate the dependence of N_CCN on aerosol properties and transport pathways. Cluster analysis was applied to the back trajectories of air masses to investigate their respective source regions. The results showed that aged biomass burning aerosols from Central America were characterized by higher accumulation mode particles (N_accu; median value 805 cm^-3) and relatively high aerosol hygroscopicity (κ; median value ~0.25) values that result in the higher CCN activation and relatively high N_CCN (median value 258–1578 cm^-3 at a SS of 0.1%–1.0%). Aerosols from the Gulf of Mexico were characterized by higher N_accu (~35%), and N_CCN (230–1721 cm^-3 at a SS of 0.1%–1.0%) with the lowest κ (~0.17). In contrast, relatively high nucleation mode particles (N_nucl; ~20%) and low N_CCN (128–1553 cm^-3 at a SS of 0.1%–1.0%) with higher κ (~0.30) values were observed on the aerosols associated with a westerly wind. The results indicate particle size as the most critical factor influencing the ability of aerosols to activate, whereas the effect of chemical composition was secondary. Our CCN closure analysis suggests that chemical composition and mixing state information are more crucial at lower SS, whereas at higher SS, most particles become activated regardless of their chemical composition and size. This study affirms that soluble organic fraction information is required at higher SS for better N_CCN prediction, but both the soluble organics fraction and mixing state are vital to reduce the N_CCN prediction uncertainty at lower SS.

View Accepted Manuscript (DOE)

Research Organization:: ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Contributing Organization:: PNNL, BNL, ANL, ORNL

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1810754

Journal Information:: Environmental Research Communications, Journal Name: Environmental Research Communications Journal Issue: 7 Vol. 3; ISSN 2515-7620

Publisher:: IOP ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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