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Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016 In the southeast Atlantic, well-defined smoke plumes from Africa advect over marine boundary layer cloud decks; both are most extensive around September, when most of the smoke resides in the free troposphere. A framework is put forth for evaluating the performance of a range of global and regional atmospheric composition models against observations made during the NASA ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) airborne mission in September 2016. A strength of the comparison is a focus on the spatial distribution of a wider range of aerosol composition and optical properties than has been done previously. The sparse airborne observations are aggregated into approximately 2° grid boxes and into three vertical layers: 3–6 km, the layer from cloud top to 3 km, and the cloud-topped marine boundary layer. Simulated aerosol extensive properties suggest that the flight-day observations are reasonably representative of the regional monthly average, with systematic deviations of 30 % or less. Evaluation against observations indicates that all models have strengths and weaknesses, and there is no single model that is superior to all the others in all metrics evaluated. Whereas all six models typically place the top of the smoke layer within 0–500 m of the airborne lidar observations, the models tend to place the smoke layer bottom 300–1400 m lower than the observations. A spatial pattern emerges, in which most models underestimate the mean of most smoke quantities (black carbon, extinction, carbon monoxide) on the diagonal corridor between 16° S, 6° E, and 10° S, 0° E, in the 3–6 km layer, and overestimate them further south, closer to the coast, where less aerosol is present. Model representations of the above-cloud aerosol optical depth differ more widely. Most models overestimate the organic aerosol mass concentrations relative to those of black carbon, and with less skill, indicating model uncertainties in secondary organic aerosol processes. Regional-mean free-tropospheric model ambient single scattering albedos vary widely, between 0.83 and 0.93 compared with in situ dry measurements centered at 0.86, despite minimal impact of humidification on particulate scattering. The modeled ratios of the particulate extinction to the sum of the black carbon and organic aerosol mass concentrations (a mass extinction efficiency proxy) are typically too low and vary too little spatially, with significant inter-model differences. Most models overestimate the carbonaceous mass within the offshore boundary layer. Overall, the diversity in the model biases suggests that different model processes are responsible. The wide range of model optical properties requires further scrutiny because of their importance for radiative effect estimates.
Document ID
20210013338
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Yohei Shinozuka
(Universities Space Research Association Columbia, Maryland, United States)
Pablo E. Saide ORCID
(University of California, Los Angeles Los Angeles, California, United States)
Gonzalo A. Ferrada ORCID
(University of Iowa Iowa City, Iowa, United States)
Sharon P. Burton
(Langley Research Center Hampton, Virginia, United States)
Richard Ferrare
(Langley Research Center Hampton, Virginia, United States)
Sarah J. Doherty
(University of Washington Seattle, Washington, United States)
Hamish Gordon ORCID
(University of Leeds Leeds, United Kingdom)
Karla Longo
(Universities Space Research Association Columbia, Maryland, United States)
Marc Mallet
(Centre National de Recherches Météorologiques Toulouse, France)
Yan Feng ORCID
(Argonne National Laboratory Lemont, Illinois, United States)
Qiaoqiao Wang
(Jinan University Guangzhou, Guangdong, China)
Yafang Cheng ORCID
(Max Planck Institute for Chemistry Mainz, Germany)
Amie Dobracki
(University of Miami Coral Gables, Florida, United States)
Steffen Freitag ORCID
(University of Hawaii at Manoa Honolulu, Hawaii, United States)
Steven G. Howell
(University of Hawaii at Manoa Honolulu, Hawaii, United States)
Samuel LeBlanc ORCID
(Bay Area Environmental Research Institute Petaluma, California, United States)
Connor Flynn
(Pacific Northwest National Laboratory Richland, Washington, United States)
Michal Segal-Rosenhaimer
(Bay Area Environmental Research Institute Petaluma, California, United States)
Kristina Pistone ORCID
(Bay Area Environmental Research Institute Petaluma, California, United States)
James R. Podolske
(Ames Research Center Mountain View, California, United States)
Eric J. Stith
(Bay Area Environmental Research Institute Petaluma, California, United States)
Joseph Ryan Bennett
(Bay Area Environmental Research Institute Petaluma, California, United States)
Gregory R. Carmichael
(University of Iowa Iowa City, Iowa, United States)
Arlindo da Silva
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Ravi Govindaraju
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Ruby Leung
(Pacific Northwest National Laboratory Richland, Washington, United States)
Yang Zhang
(Northeastern University Boston, Massachusetts, United States)
Leonhard Pfister
(Ames Research Center Mountain View, California, United States)
Ju-mee Ryoo
(Bay Area Environmental Research Institute Petaluma, California, United States)
Jens Redemann ORCID
(University of Oklahoma Norman, Oklahoma, United States)
Robert Wood ORCID
(University of Washington Seattle, Washington, United States)
Paquita Zuidema ORCID
(University of Miami Coral Gables, Florida, United States)
Date Acquired
April 7, 2021
Publication Date
October 7, 2020
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: European Geosciences Union / Copernicus Publications
Volume: 20
Issue: 19
Issue Publication Date: September 30, 2020
ISSN: 1680-7316
e-ISSN: 1680-7324
Subject Category
Geosciences (General)
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 802678.02.17.01.33
CONTRACT_GRANT: NNH13ZDA001N-EVS2
CONTRACT_GRANT: NE/L013479/1
CONTRACT_GRANT: EPA RD835871
CONTRACT_GRANT: NSF ACI- 1053575
CONTRACT_GRANT: DE-AC02- 05CH11231
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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