Abstract

Abstract. In this work, an abundance of ice-nucleating particles (INPs) from livestock facilities was studied through laboratory measurements from cloud-simulation chamber experiments and field investigation in the Texas Panhandle. Surface materials from two livestock facilities, one in the Texas Panhandle and another from McGregor, Texas, were selected as dust proxies for laboratory analyses. These two samples possessed different chemical and biological properties. A combination of aerosol interaction and dynamics in the atmosphere (AIDA) measurements and offline ice spectrometry was used to assess the immersion freezing mode ice nucleation ability and efficiency of these proxy samples at temperatures above −29 ∘C. A dynamic filter processing chamber was also used to complement the freezing efficiencies of submicron and supermicron particles collected from the AIDA chamber. For the field survey, periodic ambient particle sampling took place at four commercial livestock facilities from July 2017 to July 2019. INP concentrations of collected particles were measured using an offline freezing test system, and the data were acquired for temperatures between −5 and −25 ∘C. Our AIDA laboratory results showed that the freezing spectra of two livestock dust proxies exhibited higher freezing efficiency than previously studied soil dust samples at temperatures below −25 ∘C. Despite their differences in composition, the freezing efficiencies of both proxy livestock dust samples were comparable to each other. Our dynamic filter processing chamber results showed on average approximately 50 % supermicron size dominance in the INPs of both dust proxies. Thus, our laboratory findings suggest the importance of particle size in immersion freezing for these samples and that the size might be a more important factor for immersion freezing of livestock dust than the composition. From a 3-year field survey, we measured a high concentration of ambient INPs of 1171.6 ± 691.6 L−1 (average ± standard error) at −25 ∘C for aerosol particles collected at the downwind edges of livestock facilities. An obvious seasonal variation in INP concentration, peaking in summer, was observed, with the maximum at the same temperature exceeding 10 000 L−1 on 23 July 2018. The observed high INP concentrations suggest that a livestock facility is a substantial source of INPs. The INP concentration values from our field survey showed a strong correlation with measured particulate matter mass concentration, which supports the importance of size in ice nucleation of particles from livestock facilities.

Highlights

  • Atmospheric ice-nucleating particles (INPs) are a small subset of aerosol particles that initiate ice crystal formation in supercooled clouds (Vali, 1968; Pruppacher and Klett, 2010)

  • Our investigations were composed of two parts: (1) an AIDA laboratory campaign to investigate the INP propensity and properties of two open-lot livestock facilities” (OLLFs) soil dust proxies; (2) a multi-year field investigation of immersion-mode INPs from four commercial OLLFs in the Texas Panhandle in 2017–2019

  • Our laboratory and field findings show that OLLFs are a substantial source of supermicron-sized particles and organic-rich soil dust INPs

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Summary

Introduction

Atmospheric ice-nucleating particles (INPs) are a small subset of aerosol particles that initiate ice crystal formation in supercooled clouds (Vali, 1968; Pruppacher and Klett, 2010). Scientists have a better understanding of ambient INP concentrations (nINP, per unit volume of air), especially through immersion freezing (i.e., the freezing of aerosol particle(s) immersed in a supercooled droplet), from different agricultural sources (Conen et al, 2011; Hill et al, 2016; Steinke et al, 2016; Suski et al, 2018) These efforts allow for firstorder estimates of immersion-mode nINP from soil dust that is relevant to mixed-phase clouds (O’Sullivan et al, 2014; Tobo et al, 2014; Steinke et al, 2020). These measurements and approximations represent the upper bound of general field-studied nINP from different geographical areas as summarized in Kanji et al (2017; Fig. 1–10) in the same temperature range, i.e., 0.002 to 60 L−1 (see Sect. 3.2.3 for a more detailed comparison discussion)

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