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Title: Model representations of aerosol layers transported from North America over the Atlantic Ocean during the Two-Column Aerosol Project

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2016JD025248· OSTI ID:1331075

The ability of the Weather Research and Forecasting model with chemistry (WRF-Chem) version 3.7 and the Community Atmosphere Model version 5.3 (CAM5) in simulating profiles of aerosol properties is quantified using extensive in situ and remote sensing measurements from the Two-Column Aerosol Project (TCAP) conducted during July of 2012. TCAP was supported by the U.S. Department of Energy's Atmospheric Radiation Measurement program and was designed to obtain observations within two atmospheric columns; one fixed over Cape Cod, Massachusetts, and the other several hundred kilometers over the ocean. The performance is quantified using most of the available aircraft and surface measurements during July, and 2 days are examined in more detail to identify the processes responsible for the observed aerosol layers. The higher-resolution WRF-Chem model produced more aerosol mass in the free troposphere than the coarser-resolution CAM5 model so that the fraction of aerosol optical thickness above the residual layer from WRF-Chem was more consistent with lidar measurements. We found that the free troposphere layers are likely due to mean vertical motions associated with synoptic-scale convergence that lifts aerosols from the boundary layer. The vertical displacement and the time period associated with upward transport in the troposphere depend on the strength of the synoptic system and whether relatively high boundary layer aerosol concentrations are present where convergence occurs. In conclusion, while a parameterization of subgrid scale convective clouds applied in WRF-Chem modulated the concentrations of aerosols aloft, it did not significantly change the overall altitude and depth of the layers.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC00112704
OSTI ID:
1331075
Report Number(s):
BNL-113178-2016-JA; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
Journal Information:
Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 16; ISSN 2169-897X
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 14 works
Citation information provided by
Web of Science

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Cited By (3)

Combining airborne in situ and ground-based lidar measurements for attribution of aerosol layers journal January 2018
In situ constraints on the vertical distribution of global aerosol journal January 2019
Combining airborne in situ and ground-based lidar measurements for attribution of aerosol layers journal January 2018

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