Data from: Quantifying Errors in the Aerosol Mixing-State Index Based on Limited Particle Sample Size
Cite this dataset:
Gasparik, Jessica T.; Ye, Qing; Curtis, Jeffrey H.; Presto, Albert A.; Donahue, Neil M.; Sullivan, Ryan C.; West, Matthew; Riemer, Nicole (2020): Data from: Quantifying Errors in the Aerosol Mixing-State Index Based on Limited Particle Sample Size. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2774261_V1
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Dataset Description

This dataset contains the PartMC-MOSAIC simulations used in the article "Quantifying Errors in the Aerosol Mixing-State Index Based on Limited Particle Sample Size". The 1000 simulations of output data is organized into a series of archived folders, each containing 100 scenarios. Within each scenario directory are 25 NetCDF files, which are the hourly output of a PartMC-MOSAIC simulation containing all information regarding the environment, particle and gas state. This dataset was used to investigate the impact of sample size on determining aerosol mixing state. This data may be useful as a data set for applying different types of estimators.
Subject Physical Sciences
Keywords Atmospheric aerosols; single-particle measurements; sampling uncertainty; NetCDF
License CC0
Funder U.S. National Science Foundation (NSF)-Grant:AGS-1254428
Funder U.S. National Science Foundation (NSF)-Grant:AGS-1543786
Funder U.S. National Science Foundation (NSF)-Grant:CHE-1807530
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0019192
Funder U.S. Environmental Protection Agency-Grant:RD83587301
Corresponding Creator Nicole Riemer
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Version DOI Comment Publication Date
1 10.13012/B2IDB-2774261_V1 2020-06-26
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