CACTI-AC

CACTI Aerial Campaign

1 November 2018 - 15 December 2018

Lead Scientist: Adam Varble

Observatory: aaf

As part of Cloud, Aerosol, and Complex Terrain Interactions (CACTI), the ARM Aerial Facility Gulfstream-159 (G-1) aircraft will be deployed near the first ARM Mobile Facility (AMF1) location for approximately six weeks—November 1 to December 15, 2018—to support the CACTI science goals. The G-1 flight measurements will provide information on orographic cumulus clouds and deep convective systems. For orographic cumulus clouds, the G-1 measurements will characterize in-cloud dynamics, microphysics, and aerosols, as well as the environmental variability around the clouds focusing on conditions upstream and downstream of clouds at multiple altitudes in the vicinity of the AMF1 site. In situations of significant aerosol heterogeneity, emphasis will be placed on observations in and out of aerosol plumes in the vicinity of the clouds. For deep convective systems, the G-1 measurements will focus on characterizing the environmental conditions that lead to convective initiation and the vertical profiles of environmental properties around the growing deep convection and in adjacent regions that are not initiating deep convection so that the differences in environment can be compared. Convective inflow and free tropospheric properties from the G-1 aircraft will be important for putting AMF1 observations into context and for providing input to numerical simulations.

Co-Investigators

Eldo Avila	Sonia Kreidenweis	Paola Salio
Paul DeMott	L. Ruby Leung	Sue van den Heever
David Gochis	Greg McFarquhar	Christopher Williams
Robert Houze	Steve Nesbitt	Edward Zipser
Michael Jensen	Kristen Rasmussen
Pavlos Kollias	David Romps

Timeline

Parent Campaign
Sibling Campaign

Related Publications

2024

Fast J, A Varble, F Mei, M Pekour, J Tomlinson, A Zelenyuk, A Sedlacek III, M Zawadowicz, and L Emmons. 2024. "Large spatiotemporal variability in aerosol properties over central Argentina during the CACTI field campaign." Atmospheric Chemistry and Physics, 24(23), 10.5194/acp-24-13477-2024.

Mei F, J Comstock, M Pekour, J Fast, K Gaustad, B Schmid, S Tang, D Zhang, J Shilling, J Tomlinson, A Varble, J Wang, L Leung, L Kleinman, S Martin, S Biraud, B Ermold, and K Burk. 2024. "Atmospheric Radiation Measurement (ARM) airborne field campaign data products between 2013 and 2018." Earth System Science Data, 16(11), 10.5194/essd-16-5429-2024.

Mei F and K Gaustad. 2024. ARM Aerial Facility (AAF) Merged Value-Added Product Report for Historical G-1 Field Campaigns. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-299. 10.2172/2335708.

Dorsey KS, CB Ireland, ME Mundy, RA Stafford, KK Palmer, MR Wasem, ME Prichard, JM Comstock, and I Silber. 2024. 2023 Atmospheric Radiation Measurement (ARM) Annual Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-23-047. 10.2172/2281709.

2023

Dorsey K. 2023. LASSO: Tying LES Modeling and ARM Data Together for Atmospheric Science Backgrounder. Ed. by Robert Stafford, ARM Climate Research Facility. DOE/SC-ARM-15-073.

Zhang C and J Moore. 2023. "A Road Map to Success of International Field Campaigns in Atmospheric and Oceanic Sciences." Bulletin of the American Meteorological Society, 104(1), 10.1175/BAMS-D-22-0133.1.

2022

Giangrande S, J Comstock, S Collis, J Shilling, K Gaustad, K Kehoe, S Xie, and D Zhang. 2022. Translator Plan: A Coordinated Vision for Fiscal Years 2023-2025. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-22-003. 10.2172/1893730.

Li H and A May. 2022. "Estimating mass-absorption cross-section of ambient black carbon aerosols: theoretical, empirical, and machine learning models." Aerosol Science and Technology, 56(11), 10.1080/02786826.2022.2114311.

Borque P, A Varble, and J Hardin. 2022. "Peak Rain Rate Sensitivity to Observed Cloud Condensation Nuclei and Turbulence in Continental Warm Shallow Clouds During CACTI." Journal of Geophysical Research: Atmospheres, , e2022JD036864, 10.1029/2022JD036864.

Zamora Zapata M and J Kleissl. 2022. "Dependence of subhourly solar variability statistics on time interval and cloud vertical position." Journal of Renewable and Sustainable Energy, 14(3), 036501, 10.1063/5.0090846.

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