edu.ucar.opensky::articles:42152 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:59:17.088440 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7wd44vq https://doi.org/10.5065/XS0R-QE86 https Related Dataset #1 CESM2.2 CAM-chem as Boundary Conditions https://doi.org/10.5439/1228061 https Related Dataset #2 AOS CPCU (ultrafine) harmonized https://doi.org/10.5439/1228769 https Related Dataset #3 KAZRARSCL-Cloud Boundaries subset https://doi.org/10.5439/1245509 https Related Dataset #4 aafpcasp https://doi.org/10.5439/1346692 https Related Dataset #5 aoso3.b1 https://doi.org/10.5439/1349237 https Related Dataset #6 aafcpcu.b1 https://doi.org/10.5439/1349242 https Related Dataset #7 aafccn2cola.b1 https://doi.org/10.5439/1349243 https Related Dataset #8 aafccn2colb.b1 https://doi.org/10.5439/1352536 https Related Dataset #9 aoscpcf.b1 https://doi.org/10.5439/1373109 https Related Dataset #10 aafcpcfiso.b1 https://doi.org/10.5439/1409033 https Related Dataset #11 aosuhsas.b1 https://doi.org/10.5439/1417472 https Related Dataset #12 ARM Aerial Facility (AAF) Fast-Cloud Droplet Probe (FCDP) https://doi.org/10.5439/1438488 https Related Dataset #13 aafcas.b1 https://doi.org/10.5439/1476898 https Related Dataset #14 Scanning Mobility Particle Sizer, b1 level https://doi.org/10.5439/1488849 https Related Dataset #15 ARM Aerial Facility (AAF) Trace Gas Concentrations for CO (aafco) https://doi.org/10.5439/1488850 https Related Dataset #16 ARM Aerial Facility (AAF) Trace Gas Concentrations for SO2 (aafso2) https://doi.org/10.5439/1524780 https Related Dataset #17 AAF_UHSAS-air_CACTI https://doi.org/10.5439/1558768 https Related Dataset #18 aosacsm.b1 https://doi.org/10.5439/1729907 https Related Dataset #19 aosccnsmpskappa.c1 https://doi.org/10.5439/1905541 https Related Dataset #20 ARM Aerial Facility (AAF) Merged aerosol size distribution https://doi.org/10.5439/1961525 https Related Dataset #21 aafsmps (b1) Large spatiotemporal variability in aerosol properties over central Argentina during the CACTI field campaign 2024-12-09T00:00:00Z publication https://n2t.net/ark:/85065/d7wd44vq https://doi.org/10.5194/acp-24-13477-2024 Fast, J. D. author Varble, A. C. author Mei, F. author Pekour, M. author Tomlinson, J. author Zelenyuk, A. author Zawadowicz, M. author Emmons, Louisa K. author UCAR/NCAR - Library publisher Abstract. Few field campaigns with extensive aerosol measurements have been conducted over continental areas in the Southern Hemisphere. To address this data gap and better understand the interactions of convective clouds and the surrounding environment, extensive in situ and remote sensing measurements were collected during the Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign conducted between October 2018 and April 2019 over the Sierras de C&#243;rdoba range of central Argentina. This study describes measurements of aerosol number, size, composition, mixing state, and cloud condensation nuclei (CCN) collected on the ground and from a research aircraft during 7&#160;weeks of the campaign. Large spatial and multiday variations in aerosol number, size, composition, and CCN were observed due to transport from upwind sources controlled by mesoscale to synoptic-scale meteorological conditions. Large vertical wind shears, back trajectories, single-particle measurements, and chemical transport model predictions indicate that different types of emissions and source regions, including biogenic emissions and biomass burning from the Amazon and anthropogenic emissions from Chile and eastern Argentina, contribute to aerosols observed during CACTI. Repeated aircraft measurements near the boundary layer top reveal strong spatial and temporal variations in CCN and demonstrate that understanding the complex co-variability of aerosol properties and clouds is critical to quantify the impact of aerosol&#8211;cloud interactions. In addition to quantifying aerosol properties in this data-sparse region, these measurements will be valuable to evaluate predictions over the midlatitudes of South America and improve parameterized aerosol processes in local, regional, and global models. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <style type="text/css"></style><span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation