ACE-ENA
Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA)
1 June 2017 - 28 February 2018
Lead Scientist: Jian Wang
Observatory: aaf, ena
With their extensive coverage, low clouds greatly influence global climate, but they are poorly represented in global climate models (GCMs). The response of low clouds to changes in atmospheric greenhouse gases and aerosols remains the major source of uncertainty in climate simulations. The poor representations of low clouds in GCMs are partly due to inadequate observations of their microphysical and macrophysical structures, radiative effects, and the associated aerosol distribution and budget in regions where the aerosol impact is the greatest. The Eastern North Atlantic (ENA) is a region with persistent but diverse subtropical marine boundary layer (MBL) clouds. Their albedo and precipitation are highly susceptible to perturbations in aerosol properties. Boundary layer aerosol in the ENA region is influenced by a variety of sources, leading to strong variations in cloud condensation nuclei (CCN) concentration and aerosol optical properties. The ARM Climate Research Facility has a fixed ENA atmospheric observatory on Graciosa Island in the Azores, providing invaluable information on MBL aerosols and low clouds. At the same time, the vertical structures and horizontal variabilities of aerosols, trace gases, clouds, drizzle, and atmospheric thermodynamics are critically needed for understanding and quantifying the budget of MBL aerosols, the radiative properties, precipitation efficiency, and life cycle of MBL clouds, and the cloud response to aerosol perturbations. Much of this data can be obtained only through aircraft-based measurements. In addition, the interconnected aerosol and cloud processes are best investigated by a study involving simultaneous in situ aerosol, cloud, and thermodynamic measurements. In situ measurements are also necessary for validating and improving ground-based retrieval algorithms at the ENA observatory. The Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) field campaign was motivated by the need for comprehensive in situ characterizations of boundary layer structure, and associated vertical distributions and horizontal variabilities of low clouds and aerosols over the Azores. The ARM Aerial Facility (AAF) Gulfstream-159 (G-1) research aircraft flew from Terceira Island in the Azores during two intensive operational periods: early summer 2017 (June to July) and winter 2018 (January to February). Deployments during both seasons allowed for examination of key aerosol and cloud processes under a variety of representative meteorological and cloud conditions. The science themes for ACE-ENA included:
- the budget of MBL CCN and its seasonal variation
- effects of aerosols on clouds and precipitation
- cloud microphysical and macrophysical structures, and entrainment mixing
- advancing retrievals of turbulence, clouds, and drizzle
- model evaluation and process studies.
A key advantage of the deployments is the strong synergy between the measurements aboard the G-1 and the routine measurements at the ENA observatory, including state-of-the-art profiling and scanning radars. The three-dimensional cloud structures provided by the scanning radars will put the detailed in situ measurements into mesoscale and cloud life cycle contexts. On the other hand, high-quality in situ measurements will enable validation and improvements of ground-based retrieval algorithms at the ENA observatory, leading to high-quality and statistically robust data sets from the routine measurements. The deployments, combined with the routine measurements at the ENA site, will have a long-lasting impact on the research and modeling of low clouds and aerosols in the remote marine environment. Operational Periods: --2017.06.01-2017.07.31 --2018.01.01-2018.02.28
Co-Investigators
Eduardo Azevedo | Mary Gilles | Edward Luke |
Christopher Bretherton | Anne Jefferson | Allison McComiskey |
Duli Chand | Michael Jensen | Fan Mei |
J.-Y. Christine Chiu | Pavlos Kollias | Mark Miller |
Xiquan Dong | Chongai Kuang | Arthur Sedlacek |
Jerome Fast | Alexander Laskin | Raymond Shaw |
Andrew Gettelman | Ernie Lewis | Robert Wood |
Steven Ghan | Yangang Liu | |
Scott Giangrande | Xiaohong Liu |
Timeline
- Child Campaign
Related Publications
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.
Zheng X, X Dong, B Xi, T Logan, and Y Wang. 2024. "Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns." Atmospheric Chemistry and Physics, 24(18), 10.5194/acp-24-10323-2024.
Oue M, K Lamer, E Luke, Z Xu, F Yang, Z ZHU, and P Kollias. 2024. "Training the Next Generation of Researchers in Exploring Cloud Dynamics and Microphysics Using Millimeter-Wavelength Radars." Bulletin of the American Meteorological Society, 105(8), 10.1175/BAMS-D-24-0097.1.
Christensen M, P Wu, A Varble, H Xiao, and J Fast. 2024. "Aerosol-induced closure of marine cloud cells: enhanced effects in the presence of precipitation." Atmospheric Chemistry and Physics, 24(11), 10.5194/acp-24-6455-2024.
McCoy IL, M Wyant, P Blossey, C Bretherton, and R Wood. 2024. "Aitken Mode Aerosols Buffer Decoupled Mid‐Latitude Boundary Layer Clouds Against Precipitation Depletion." Journal of Geophysical Research: Atmospheres, 129(12), E2023JD039572, 10.1029/2023JD039572.
Research Highlight
van Leeuwen P, JC Chiu, and CK Young. 2024. "Uncertainty quantification for deep learning." arXiv, , 10.48550/arXiv.2405.20550.
Wilbourn E, L Lacher, C Guerrero, H Vepuri, K Höhler, J Nadolny, A Pantoya, O Möhler, and N Hiranuma. 2024. "Measurement report: A comparison of ground-level ice-nucleating-particle abundance and aerosol properties during autumn at contrasting marine and terrestrial locations." Atmospheric Chemistry and Physics, 24(9), 10.5194/acp-24-5433-2024.
Allwayin N, M Larsen, S Glienke, and R Shaw. 2024. "Locally narrow droplet size distributions are ubiquitous in stratocumulus clouds." Science, 384(6695), 10.1126/science.adi5550.
Research Highlight
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.
Nie Y, X Li, Q Paletta, M Aragon, A Scott, and A Brandt. 2024. "Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey." Renewable and Sustainable Energy Reviews, 189, 113977, 10.1016/j.rser.2023.113977.
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Campaign Data Sets
IOP Participant | Data Source Name | Final Data |
---|---|---|
Alexander Laskin | Time Resolved Aerosol Collectors | Order Data |
Chuck Long | Radiometer Suite (Tilt Corrected Data) | Order Data |
Alyssa Matthews | Ambient Winds- AIMMS | Order Data |
Alyssa Matthews | G-1 | Order Data |
Alyssa Matthews | High Volume Precipitation Spectrometer - Images | Order Data |
Alyssa Matthews | Water Content Monitor | Order Data |
Fan Mei | 2DS Particle Imaging Probe | Order Data |
Fan Mei | Condensation Particle Counter | Order Data |
Fan Mei | Fast Cloud Droplet Probe (FCDP) | Order Data |
Fan Mei | High Volume Precip Spectrometer | Order Data |
Fan Mei | Merged-2dsfcdphvps | Order Data |
Fan Mei | meteorology/state/position parameters | Order Data |
Mikhail Pekour | Aerodynamic Part Sizer | Order Data |
Mikhail Pekour | Aerosol Size Distribution Best Estimate by airborne measurements | Order Data |
Mikhail Pekour | Open Path Tunable Diode Laser Hygrometer | Order Data |
Mikhail Pekour | Optical Particle Counter - Counterflow Virtual Impactor | Order Data |
Mikhail Pekour | Optical Particle Counter - Isokinetic | Order Data |
Mikhail Pekour | Particle Volume Monitor | Order Data |
Raymond Shaw | Holographic Detector for Clouds | Order Data |
John Shilling | High- Resolution Time-of-Flight Aerosol Mass Spectrometer | Order Data |
John Shilling | Proton Transfer Reaction Mass Spectrometer | Order Data |
Stephen Springston | Carbon Monoxide Analyzer aboard Aircraft_IOPI | Order Data |
Stephen Springston | Carbon Monoxide Analyzer aboard Aircraft_IOPII | Order Data |
Stephen Springston | Ozone Monitor aboard Aircraft_IOPI | Order Data |
Stephen Springston | Ozone Monitor aboard Aircraft_IOPII | Order Data |
Amy Sullivan | Particle-Into-Liquid Sampler (PILS) | Order Data |
Jason Tomlinson | Cloud Aerosol Precip Spectrometer(CAPS)/Cloud Imaging Probe (CIP) | Order Data |
Jason Tomlinson | Cloud and Aerosol Spectrometer | Order Data |
Jason Tomlinson | Liquid Water Content (pvm-100a probe, SEA WCM-2000) | Order Data |
Jason Tomlinson | Passive Cavity Aerosol Spectrometer | Order Data |
Janek Uin | Aerosol Monitoring System- Ground | Order Data |
Janek Uin | Ultra-High Sensitivity Aerosol Spectrometer | Order Data |
Jian Wang | Fast Integrated Mobility Spectrometer | Order Data |
Jian Wang | Nano-Scanning Mobility Particle Sizer (SMPS) | Order Data |
Jian Wang | Scanning Mobility Particle Sizer | Order Data |