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Title: CACTI: Best Estimate Aerosol Size Distribution by airborne measurements

Abstract

These data were collected during the Cloud, Aerosol, and Complex Terrain Interactions (CACTI; https://www.arm.gov/research/campaigns/amf2018cacti ) field campaign in the Sierras de Córdoba mountain range of north-central Argentina as part of ARM Aerial Facility (AAF) deployment. The ARM Aerial Facility Gulfstream-1 was operated from Las Higueras Airport (IATA: RCU, ICAO: SAOC), Río Cuarto, Córdoba, Argentina, for the Intensive Observation Period (IOP) from Nov. 1 through Dec. 15, 2018. The G-1 aircraft performed 22 research flights over the first ARM Mobile Facility (AMF1) location in the Sierras de Córdoba mountain range to measure atmospheric state and turbulence, cloud water content and droplet size distributions, aerosol precursor gases, aerosol chemical composition and size distributions.The current data set presents Best Estimate Aerosol Size Distribution: a merged aerosol size distribution composed of the data from 5 sensors; three aerosol spectrometers: Scanning Mobility Particle Sizer (SMPS), Ultra-High Sensitivity Aerosol Spectrometer (UHSAS), and Passive Cavity Aerosol Spectrometer (PCASP); and two cloud probes: Cloud Aerosol Spectrometer (CAS) and Fast Cloud Droplet Probe (FCDP). The SMPS data were interpolated to 1 second from “native” time resolution of about 64 second to match all other probes.

Authors:
ORCiD logo
  1. ORNL
Publication Date:
Other Number(s):
ARM0807
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; Ambient Conditions; Ambient_Temperature; CAS_flag; Cloud_flag; FCDP_flag; PCASP_flag; Particle size distribution; Particle_Size_Distribution; SMPS_flag; Static_Pressure; Status Flags; UHSAS_flag
OSTI Identifier:
2204682
DOI:
https://doi.org/10.5439/2204682

Citation Formats

Pekour, Mikhail. CACTI: Best Estimate Aerosol Size Distribution by airborne measurements. United States: N. p., 2023. Web. doi:10.5439/2204682.
Pekour, Mikhail. CACTI: Best Estimate Aerosol Size Distribution by airborne measurements. United States. doi:https://doi.org/10.5439/2204682
Pekour, Mikhail. 2023. "CACTI: Best Estimate Aerosol Size Distribution by airborne measurements". United States. doi:https://doi.org/10.5439/2204682. https://www.osti.gov/servlets/purl/2204682. Pub date:Tue Nov 14 23:00:00 EST 2023
@article{osti_2204682,
title = {CACTI: Best Estimate Aerosol Size Distribution by airborne measurements},
author = {Pekour, Mikhail},
abstractNote = {These data were collected during the Cloud, Aerosol, and Complex Terrain Interactions (CACTI; https://www.arm.gov/research/campaigns/amf2018cacti ) field campaign in the Sierras de Córdoba mountain range of north-central Argentina as part of ARM Aerial Facility (AAF) deployment. The ARM Aerial Facility Gulfstream-1 was operated from Las Higueras Airport (IATA: RCU, ICAO: SAOC), Río Cuarto, Córdoba, Argentina, for the Intensive Observation Period (IOP) from Nov. 1 through Dec. 15, 2018. The G-1 aircraft performed 22 research flights over the first ARM Mobile Facility (AMF1) location in the Sierras de Córdoba mountain range to measure atmospheric state and turbulence, cloud water content and droplet size distributions, aerosol precursor gases, aerosol chemical composition and size distributions.The current data set presents Best Estimate Aerosol Size Distribution: a merged aerosol size distribution composed of the data from 5 sensors; three aerosol spectrometers: Scanning Mobility Particle Sizer (SMPS), Ultra-High Sensitivity Aerosol Spectrometer (UHSAS), and Passive Cavity Aerosol Spectrometer (PCASP); and two cloud probes: Cloud Aerosol Spectrometer (CAS) and Fast Cloud Droplet Probe (FCDP). The SMPS data were interpolated to 1 second from “native” time resolution of about 64 second to match all other probes.},
doi = {10.5439/2204682},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 14 23:00:00 EST 2023},
month = {Tue Nov 14 23:00:00 EST 2023}
}