U.S. Department of EnergyOffice of Scientific and Technical Information
EPCAPE-PT-LANL Measurements: Aerodynamic Part Sizer
Abstract
Coastal cities offer a unique environment for studying aerosol-cloud interactions and the effects of urban emissions on cloud properties. As part of the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE), the Partitioning Thrust by Los Alamos National Laboratory (EPCAPE-PT-LANL) was conducted. Our campaign focused on measuring the optical and chemical properties of aerosols and their interactions within marine stratocumulus clouds in La Jolla, California. EPCAPE-PT-LANL enhances the primary goals of EPCAPE through innovative observations of vapor-phase transitions between aerosols and cloud droplets, the impact of black carbon on aerosol-cloud dynamics, and the effects of cloud processing on aerosol optical properties. Instrument: Aerodynamic particle sizer (TSI)Files data_10min_APS.csvHeader:- List [0.54 to 19.81] middle of the size bin in microns: Data reports the concentration particles in this size bin per cubic centimeter, dN/dLog(dp).- CVI_Flag[bool]: A boolean flag indicating whether the Counterflow Virtual Impactor (CVI) was active (true) or inactive (false) during the measurement.
- Publication Date:
- Other Number(s):
- ARM0867
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Light Extinction and Scattering Blue
- OSTI Identifier:
- 2376897
- DOI:
- https://doi.org/10.5439/2376897
Citation Formats
Gorkowski, Kyle, Lee, James, Shawon, Abu Sayeed Md, Farley, Ryan, Franco, Nevil, Benedict, Katherine, Dueby, Manvendra, and Aiken, Allison. EPCAPE-PT-LANL Measurements: Aerodynamic Part Sizer. United States: N. p., 2024.
Web. doi:10.5439/2376897.
Gorkowski, Kyle, Lee, James, Shawon, Abu Sayeed Md, Farley, Ryan, Franco, Nevil, Benedict, Katherine, Dueby, Manvendra, & Aiken, Allison. EPCAPE-PT-LANL Measurements: Aerodynamic Part Sizer. United States. doi:https://doi.org/10.5439/2376897
Gorkowski, Kyle, Lee, James, Shawon, Abu Sayeed Md, Farley, Ryan, Franco, Nevil, Benedict, Katherine, Dueby, Manvendra, and Aiken, Allison. 2024.
"EPCAPE-PT-LANL Measurements: Aerodynamic Part Sizer". United States. doi:https://doi.org/10.5439/2376897. https://www.osti.gov/servlets/purl/2376897. Pub date:Mon Jun 24 04:00:00 UTC 2024
@article{osti_2376897,
title = {EPCAPE-PT-LANL Measurements: Aerodynamic Part Sizer},
author = {Gorkowski, Kyle and Lee, James and Shawon, Abu Sayeed Md and Farley, Ryan and Franco, Nevil and Benedict, Katherine and Dueby, Manvendra and Aiken, Allison},
abstractNote = {Coastal cities offer a unique environment for studying aerosol-cloud interactions and the effects of urban emissions on cloud properties. As part of the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE), the Partitioning Thrust by Los Alamos National Laboratory (EPCAPE-PT-LANL) was conducted. Our campaign focused on measuring the optical and chemical properties of aerosols and their interactions within marine stratocumulus clouds in La Jolla, California. EPCAPE-PT-LANL enhances the primary goals of EPCAPE through innovative observations of vapor-phase transitions between aerosols and cloud droplets, the impact of black carbon on aerosol-cloud dynamics, and the effects of cloud processing on aerosol optical properties. Instrument: Aerodynamic particle sizer (TSI)Files data_10min_APS.csvHeader:- List [0.54 to 19.81] middle of the size bin in microns: Data reports the concentration particles in this size bin per cubic centimeter, dN/dLog(dp).- CVI_Flag[bool]: A boolean flag indicating whether the Counterflow Virtual Impactor (CVI) was active (true) or inactive (false) during the measurement.},
doi = {10.5439/2376897},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2024},
month = {6}
}