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Large spatiotemporal variability in aerosol properties over central Argentina during the CACTI field campaign
- Source :
- Atmospheric Chemistry and Physics, Vol 24, Pp 13477-13502 (2024)
- Publication Year :
- 2024
- Publisher :
- Copernicus Publications, 2024.
-
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 Córdoba 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 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–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.
Details
- Language :
- English
- ISSN :
- 16807316 and 16807324
- Volume :
- 24
- Database :
- Directory of Open Access Journals
- Journal :
- Atmospheric Chemistry and Physics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6c83f1d0a4894220b467deff18ee7061
- Document Type :
- article
- Full Text :
- https://doi.org/10.5194/acp-24-13477-2024