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Cloud Adjustments From Large-Scale Smoke–Circulation Interactions Strongly Modulate the Southeastern Atlantic Stratocumulus-to-Cumulus TransitionSmoke from southern Africa blankets the southeastern Atlantic Ocean from June to October, producing strong and competing aerosol radiative effects. Smoke effects on the transition between overcast stratocumulus and scattered cumulus clouds are investigated along a Lagrangian (air-mass-following) trajectory in regional climate and large eddy simulation models. Results are compared with observations from three recent field campaigns that took place in August 2017: ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES), CLouds and Aerosol Radiative Impacts and Forcing: Year 2017 (CLARIFY), and Layered Atlantic Smoke Interactions with Clouds (LASIC). The case study is set up around the joint ORACLES–CLARIFY flight that took place near Ascension Island on 18 August 2017. Smoke sampled upstream on an ORACLES flight on 15 August 2017 likely entrained into the marine boundary layer later sampled during the joint flight.

The case is first simulated with the WRF-CAM5 regional climate model in three distinct setups: (1) FireOn, in which smoke emissions and any resulting smoke–cloud–radiation interactions are included; (2) FireOff, in which no smoke emissions are included; (3) RadOff, in which smoke emissions and their microphysical effects are included but aerosol does not interact directly with radiation. Over the course of the Lagrangian trajectory, differences in free tropospheric thermodynamic properties between FireOn and FireOff are nearly identical to those between FireOn and RadOff, showing that aerosol–radiation interactions are primarily responsible for the free tropospheric effects. These effects are non-intuitive: in addition to the expected heating within the core of the smoke plume, there is also a “banding” effect of cooler temperature (∼1–2 K) and greatly enhanced moisture (>2 g kg−1) at the plume top. This banding effect is caused by a vertical displacement of the former continental boundary layer in the free troposphere in the FireOn simulation resulting from anomalous diabatic heating due to smoke absorption of sunlight that manifests primarily as a few hundred meters per day reduction in large-scale subsidence over the ocean.

A large eddy simulation (LES) is then forced with free tropospheric fields taken from the outputs for the WRF-CAM5 FireOn and FireOff runs. Cases are run by selectively perturbing one variable (e.g., aerosol number concentration, temperature, moisture, vertical velocity) at a time to better understand the contributions from different indirect (microphysical), “large-scale” semi-direct (above-cloud thermodynamic and subsidence changes), and “local” semi-direct (below-cloud smoke absorption) effects. Despite a more than 5-fold increase in cloud droplet number concentration when including smoke aerosol concentrations, minimal differences in cloud fraction evolution are simulated by the LES when comparing the base case with a perturbed aerosol case with identical thermodynamic and dynamic forcings. A factor of 2 decrease in background free tropospheric aerosol concentrations from the FireOff simulation shifts the cloud evolution from a classical entrainment-driven “deepening–warming” transition to trade cumulus to a precipitation-driven “drizzle-depletion” transition to open cells, however. The thermodynamic and dynamic changes caused by the WRF-simulated large-scale adjustments to smoke diabatic heating strongly influence cloud evolution in terms of both the rate of deepening (especially for changes in the inversion temperature jump and in subsidence) and in cloud fraction on the final day of the simulation (especially for the moisture “banding” effect). Such large-scale semi-direct effects would not have been possible to simulate using a small-domain LES model alone.
Document ID
20220014530
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Michael S. Diamond ORCID
(Colorado State University Fort Collins, Colorado, United States)
Pablo E. Saide ORCID
(University of California, Los Angeles Los Angeles, California, United States)
Paquita Zuidema ORCID
(University of Miami Coral Gables, Florida, United States)
Andrew S. Ackerman ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Sarah J. Doherty
(University of Washington Seattle, Washington, United States)
Ann M. Fridlind ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Hamish Gordon ORCID
(Carnegie Mellon University Pittsburgh, Pennsylvania, United States)
Calvin Howes
(University of California, Los Angeles Los Angeles, California, United States)
Jan Kazil ORCID
(Colorado State University Fort Collins, Colorado, United States)
Takanobu Yamaguchi
(Colorado State University Fort Collins, Colorado, United States)
Jianhao Zhang ORCID
(Colorado State University Fort Collins, Colorado, United States)
Graham Feingold ORCID
(NOAA Chemical Sciences Laboratory)
Robert Wood ORCID
(University of Washington Seattle, Washington, United States)
Date Acquired
September 24, 2022
Publication Date
September 19, 2022
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: Copernicus / European Geosciences Union
Volume: 22
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 388982.05.05.03.06.02
WBS: 509496.02.80.01.15
CONTRACT_GRANT: GSFC - 606.2 GRANT
CONTRACT_GRANT: 80NSSC18M0084
CONTRACT_GRANT: NNH13ZDA001N-EVS2
CONTRACT_GRANT: 03-01-07-001
CONTRACT_GRANT: NNX-80NSSC17K0404
CONTRACT_GRANT: NA17OAR4320101
CONTRACT_GRANT: DE-SC0021250
CONTRACT_GRANT: DE-SC0018272
CONTRACT_GRANT: 80NSSC21K1344
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
southeast Atlantic Ocean
Smoke
low-altitude cloud deck
radiation budget
sunlight absorbence
sunlight reflectance
cloud properties
smoke effects
overcast and scattered clouds
regional climate models
large eddy simulation models
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