@article{0fb5cdbc21cb4f4ca6957edf1df3570c,
title = "Quantifying errors in the aerosol mixing-state index based on limited particle sample size",
abstract = "This study evaluates the error that is introduced in quantifying observed aerosol mixing states due to a limited particle sample size. We used the particle-resolved model PartMC-MOSAIC to generate a scenario library that encompasses a large number of reference particle populations with a wide range of mixing states quantified by the mixing-state index χ. We stochastically sub-sampled these particle populations using sample sizes of 10 to 10,000 particles and recalculated χ based on the sub-samples. The finite sample size led to a consistent overestimation of χ, with the 95% confidence intervals ranging from −70 to 30 percentage points for sample sizes of 10 particles, and decreasing to ±10 percentage points for sample sizes of 10,000 particles. These findings were experimentally confirmed with single-particle measurements from the Pittsburgh area using a soot-particle aerosol mass spectrometer.",
keywords = "Kihong Park",
author = "Gasparik, {J. T.} and Q. Ye and Curtis, {J. H.} and Presto, {A. A.} and Donahue, {N. M.} and Sullivan, {R. C.} and M. West and N. Riemer",
note = "Funding Information: We acknowledge funding from NSF AGS-1254428, NSF AGS-1543786, NSF CHE-1807530, and DOE ASR DE-SC0019192. This publication was developed under assistance agreement RD83587301 awarded by the U.S. Environmental Protection Agency as part of the Center for Air, Climate, and Energy Solutions. It has not been formally reviewed by EPA. The views expressed in this document are solely those of authors and do not necessarily reflect those of the Agency. EPA does not endorse any products or commercial services mentioned in this publication. This research is part of the Blue Waters sustained petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. Publisher Copyright: {\textcopyright} 2020 American Association for Aerosol Research.",
year = "2020",
month = dec,
day = "1",
doi = "10.1080/02786826.2020.1804523",
language = "English (US)",
volume = "54",
pages = "1527--1541",
journal = "Aerosol Science and Technology",
issn = "0278-6826",
publisher = "Taylor and Francis Ltd.",
number = "12",
}