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Title: ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC

Abstract

ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC

Authors:
; ; ;
Publication Date:
DOE Contract Number:  
DE-AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Collaborations:
PNNL, BNL, ANL, ORNL
Subject:
54 Environmental Sciences
Keywords:
ARM, UAF, MCPC, AAF
OSTI Identifier:
1820906
DOI:
https://doi.org/10.5439/1820906

Citation Formats

Burk, Ken, Mei, Fan, Stephenson, John, and Pekour, Mikhail. ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC. United States: N. p., 2021. Web. doi:10.5439/1820906.
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Burk, Ken, Mei, Fan, Stephenson, John, & Pekour, Mikhail. ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC. United States. doi:https://doi.org/10.5439/1820906
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Burk, Ken, Mei, Fan, Stephenson, John, and Pekour, Mikhail. 2021. "ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC". United States. doi:https://doi.org/10.5439/1820906. https://www.osti.gov/servlets/purl/1820906. Pub date:Tue Nov 09 00:00:00 EST 2021
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@article{osti_1820906,
title = {ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC},
author = {Burk, Ken and Mei, Fan and Stephenson, John and Pekour, Mikhail},
abstractNote = {ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Mixing Condensation Particle Counter, with QC},
doi = {10.5439/1820906},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 09 00:00:00 EST 2021},
month = {Tue Nov 09 00:00:00 EST 2021}
}
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Dataset:
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DOI: https://doi.org/10.5439/1820906
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