Atmospheric Radiation Measurement Climate Research Facility US Department of Energy



Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA)

1 June 2017 - 28 February 2018

Lead Scientist: Jian Wang

Site: ENA

With their extensive coverage, low clouds greatly impact global climate. Presently, low clouds are poorly represented in global climate models (GCMs), and 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 in part 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 of persistent but diverse subtropical marine boundary layer (MBL) clouds, whose 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.

Recently a permanent ENA site was established by the DOE Atmospheric Radiation Measurement (ARM) Climate Research Facility on Graciosa Island in the Azores, providing invaluable information on MBL aerosol and low clouds. At the same time, the vertical structures and horizontal variabilities of aerosol, trace gases, cloud, drizzle, and atmospheric thermodynamics are critically needed for understanding and quantifying the budget of MBL aerosol, the radiative properties, precipitation efficiency, and lifecycle 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 thermodynamics measurements. Furthermore, in-situ measurements are also necessary for validating and improving ground-based retrieval algorithms at the ENA site.

This proposal is motivated by the need for comprehensive in-situ characterizations of boundary layer structure, and associated vertical distributions and horizontal variabilities of low clouds and aerosol over the Azores. We propose to deploy the ARM Aerial Facility (AAF) Gulfstream-1 (G-1) aircraft at the ENA site during two intensive measurement periods (IOPs) of early summer (June to July) of 2017 and winter (January to February) of 2018, respectively. Deployments during both seasons allow for examination of key aerosol and cloud processes under a variety of representative meteorological and cloud conditions. The science themes for the proposed deployments include: (1) Budget of MBL CCN and its seasonal variation; (2) Effects of aerosol on cloud and precipitation; (3) Cloud microphysical and macrophysical structures, and entrainment mixing; (4) Advancing retrievals of turbulence, cloud, and drizzle; and (5) Model evaluation and processes studies.

A key advantage of the proposed deployments is the strong synergy between the measurements onboard the G-1 and the routine measurements at the ENA site, including state of the art profiling and scanning radars. The 3-D cloud structures provided by the scanning radars will put the detailed in-situ measurements into mesoscale and cloud lifecycle contexts. On the other hand, high quality in-situ measurements will enable validation and improvements of ground-based retrieval algorithms at the ENA site, leading to high-quality and statistically robust datasets from the routine measurements. The proposed 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:

-- 2017.06.01-2015.07.31



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 Xiaohong Liu
Scott Giangrande Yangang Liu