Data from: Quantifying Errors in the Aerosol Mixing-State Index Based on Limited Particle Sample Size

  • Jessica T. Gasparik (Creator)
  • Qing Ye (Creator)
  • Jeffrey H. Curtis (Creator)
  • Albert A. Presto (Creator)
  • Neil M. Donahue (Creator)
  • Ryan C. Sullivan (Creator)
  • Matthew West (Creator)
  • Nicole Riemer (Creator)

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.
Date made availableJun 26 2020
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • sampling uncertainty
  • NetCDF
  • Atmospheric aerosols
  • single-particle measurements

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