Abstract

Abstract. A quality-controlled, 5-year dataset of aerosol number size distributions (particles with diameters (Dp) from 7 nm through 14 µm) was developed using observations from a scanning mobility particle sizer, aerodynamic particle sizer, and a condensation particle counter at the Department of Energy's Southern Great Plains (SGP) site. This dataset was used for two purposes. First, typical characteristics of the aerosol size distribution (number, surface area, and volume) were calculated for the SGP site, both for the entire dataset and on a seasonal basis, and size distribution lognormal fit parameters are provided. While the median size distributions generally had similar shapes (four lognormal modes) in all the seasons, there were some significant differences between seasons. These differences were most significant in the smallest particles (Dp<30 nm) and largest particles (Dp>800 nm). Second, power spectral analysis was conducted on this long-term dataset to determine key temporal cycles of total aerosol concentrations, as well as aerosol concentrations in specified size ranges. The strongest cyclic signal was associated with a diurnal cycle in total aerosol number concentrations that was driven by the number concentrations of the smallest particles (Dp<30 nm). This diurnal cycle in the smallest particles occurred in all seasons in ∼50 % of the observations, suggesting a persistent influence of new particle formation events on the number concentrations observed at the SGP site. This finding is in contrast with earlier studies that suggest new particle formation is observed primarily in the springtime at this site. The timing of peak concentrations associated with this diurnal cycle was shifted by several hours depending on the season, which was consistent with seasonal differences in insolation and boundary layer processes. Significant diurnal cycles in number concentrations were also found for particles with Dp between 140 and 800 nm, with peak concentrations occurring in the overnight hours, which were primarily associated with both nitrate and organic aerosol cycles. Weaker cyclic signals were observed for longer timescales (days to weeks) and are hypothesized to be related to the timescales of synoptic weather variability. The strongest periodic signals (3.5–5 and 7 d cycles) for these longer timescales varied depending on the season, with no cyclic signals and the lowest variability in the summer.

Highlights

  • Aerosol particles play a number of roles in the Earthatmosphere system, including impacting warm and cold cloud formation, solar and terrestrial radiation budgets, and human and environmental health

  • While the scanning mobility particle sizer (SMPS) + aerodynamic particle sizer (APS) data were available during this period, the condensation particle counter (CPC) adjustments could not be made, and these data were excluded from this study

  • Power spectral analysis is a computational tool that fits a range of harmonic functions of varying frequencies to a data series using Fourier sums and calculates the amount of total variance in a data series that can be explained by each harmonic function, each associated with a specific frequency and period

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Summary

Introduction

Aerosol particles play a number of roles in the Earthatmosphere system, including impacting warm and cold cloud formation, solar and terrestrial radiation budgets, and human and environmental health. Sherman et al (2015) was a follow-up study to, and generally consistent with, the results of Delene and Ogren (2002) and Sheridan et al (2001), with all three studies focusing on aerosol optical properties at the SGP site These studies demonstrated weak diurnal and weekly cycles of aerosol scattering and absorption that were significant depending on the season, with absorption having a stronger signal. Jefferson et al (2017) related some of the results from these prior studies to the seasonal variability in aerosol scattering coefficient hygroscopic growth with 7 years of SGP data None of these prior studies of long-term variability in aerosol properties at the SGP site exploited the multiyear datasets of number size distributions available for the site, which allow for specific size ranges of aerosol particles to be studied. While the SMPS + APS data were available during this period, the CPC adjustments could not be made, and these data were excluded from this study

Seasonal variations in aerosol concentrations
Methods
Hourly to daily cycles of aerosol number concentrations
The 12 h cycle of aerosol particles
Findings
Conclusions
Full Text
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