2021
DOI: 10.1175/bams-d-20-0030.1
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Utilizing a Storm-Generating Hotspot to Study Convective Cloud Transitions: The CACTI Experiment

Abstract: The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign was designed to improve understanding of orographic cloud life cycles in relation to surrounding atmospheric thermodynamic, flow, and aerosol conditions. The deployment to the Sierras de Córdoba range in north-central Argentina was chosen because of very frequent cumulus congestus, deep convection initiation, and mesoscale convective organization uniquely observable from a fixed site. The C-band Scanning Atmospheric Radiation Measureme… Show more

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Cited by 49 publications
(45 citation statements)
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References 94 publications
(67 reference statements)
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“…The predominance of biological INPs at temperatures above −20°C emphasizes the need for parameterization of this INP class, which should include their short-term variation caused by precipitation (e.g., fit parameterization derived by Mignani et al, 2021) and high relative humidity. Work to investigate whether the concentrations, characteristics and dynamics of the surface-level INPs are also applicable to observations at the altitude of clouds is ongoing (DeMott & Hill, 2020;Varble et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…The predominance of biological INPs at temperatures above −20°C emphasizes the need for parameterization of this INP class, which should include their short-term variation caused by precipitation (e.g., fit parameterization derived by Mignani et al, 2021) and high relative humidity. Work to investigate whether the concentrations, characteristics and dynamics of the surface-level INPs are also applicable to observations at the altitude of clouds is ongoing (DeMott & Hill, 2020;Varble et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Primarily funded by the National Science Foundation, this campaign was an international collaboration seeking to observe and investigate convective storms that produce high-impact weather (Nesbitt et al, 2021). Accompanying the RELAMPAGO campaign was the Department of Energy ARM-funded CACTI field campaign (Varble et al, 2021) which was planned and operated in coordination with RELAMPAGO to maximize the benefits of each campaign.…”
Section: Relampago Field Campaignmentioning
confidence: 99%
“…For example, the NASA Tropical Rainfall Measuring Mission-Large-Scale Biosphere-Atmosphere (TRMM-LBA) experiment conducted in 1999 in southwestern Amazonia [43,[50][51][52] and the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Green Ocean Amazon (GoAmazon) field campaign conducted in central Amazonia during 2014 and 2015 [53][54][55] collected DSD observations. Moreover, the DOE ARM Cloud, Aerosol, and Complex Terrain Interactions (CACTI) and Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaigns conducted during the austral warm season of 2018-2019 collected disdrometer observations in west-central Argentina near the Sierras de Córdoba (SDC) [56,57]. This north-south-oriented mountain range east of the Andes in subtropical South America is known to frequently initiate deep convection [56][57][58][59][60][61].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the DOE ARM Cloud, Aerosol, and Complex Terrain Interactions (CACTI) and Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaigns conducted during the austral warm season of 2018-2019 collected disdrometer observations in west-central Argentina near the Sierras de Córdoba (SDC) [56,57]. This north-south-oriented mountain range east of the Andes in subtropical South America is known to frequently initiate deep convection [56][57][58][59][60][61]. In addition, measurements from the Integrated Precipitation and Hydrology Experiment (IPHEx), which was conducted in the Appalachian Mountains of North Carolina (USA), formed an extensive DSD database for midlatitude mountainous terrain [62].…”
Section: Introductionmentioning
confidence: 99%