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Title: Quantifying and Modeling the Impact of Phase State on the Ice Nucleation Abilities of 2-Methyltetrols as a Key Component of Secondary Organic Aerosol Derived from Isoprene Epoxydiols

Journal Article · · Environmental Science & Technology
ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [5]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [7]; ORCiD logo [7]; ORCiD logo [1];  [3]; ORCiD logo [6]; ORCiD logo [5]
  1. Princeton University, NJ (United States)
  2. Yale University, New Haven, CT (United States)
  3. Purdue University, West Lafayette, IN (United States)
  4. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Delft University (Netherlands)
  5. Texas A&M University, College Station, TX (United States)
  6. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  7. University of North Carolina at Chapel, NC (United States)

Organic aerosols (OAs) may serve as ice-nucleating particles (INPs), impacting the formation and properties of cirrus clouds when their phase state and viscosity are in the semisolid to glassy range. However, there is a lack of direct parameterization between aerosol viscosity and their ice nucleation capabilities. In this study, we experimentally measured the ice nucleation rate of 2-methyltetrols (2-MT) aerosols, a key component of isoprene-epoxydiol-derived secondary organic aerosols (IEPOX-SOA), at different viscosities. These results demonstrate that the phase state has a significant impact on the ice nucleation abilities of OA under typical cirrus cloud conditions, with the ice nucleation rate increasing by 2 to 3 orders of magnitude when the phase state changes from liquid to semisolid. An innovative parametric model based on classical nucleation theory was developed to directly quantify the impact of viscosity on the heterogeneous nucleation rate. This model accurately represents our laboratory measurement and can be implemented into climate models due to its simple, equation-based form. Based on data collected from the ACRIDICON-CHUVA field campaign, our model predicts that the INP concentration from IEPOX-SOA can reach the magnitude of 1 to tens per liter in the cirrus cloud region impacted by the Amazon rainforest, consistent with recent field observations and estimations. This novel parameterization framework can also be applied in regional and global climate models to further improve representations of cirrus cloud formation and associated climate impacts.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center; Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL); Princeton University, NJ (United States); Texas A&M University, College Station, TX (United States)
Sponsoring Organization:
EMSL; National Science Foundation (NSF); U.S. National Science Foundation (NSF); USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States)
Grant/Contract Number:
AC05-76RL01830; SC0018419; SC0024034
OSTI ID:
2483758
Report Number(s):
PNNL-SA-200294
Journal Information:
Environmental Science & Technology, Journal Name: Environmental Science & Technology Journal Issue: 51 Vol. 58; ISSN 1520-5851; ISSN 0013-936X
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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