Simulating the forest fire plume dispersion, chemistry, and aerosol formation using SAM-ASP version 1.0
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Published:2020-09-28
Issue:9
Volume:13
Page:4579-4593
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Lonsdale Chantelle R., Alvarado Matthew J., Hodshire Anna L.ORCID, Ramnarine Emily, Pierce Jeffrey R.ORCID
Abstract
Abstract. Biomass burning is a major source of trace gases and
aerosols that can ultimately impact health, air quality, and climate.
Global and regional-scale three-dimensional Eulerian chemical transport
models (CTMs) use estimates of the primary emissions from fires and can
unphysically mix them across large-scale grid boxes, leading to incorrect
estimates of the impact of biomass burning events. On the other hand,
plume-scale process models allow for explicit simulation and examination of
the chemical and physical transformations of trace gases and aerosols within
biomass burning smoke plumes, and they may be used to develop
parameterizations of this aging process for coarser grid-scale models. Here
we describe the coupled SAM-ASP plume-scale process model, which consists of
coupling the large-eddy simulation model, the System for Atmospheric
Modelling (SAM), with the detailed gas and aerosol chemistry model, the
Aerosol Simulation Program (ASP). We find that the SAM-ASP version 1.0 model
is able to correctly simulate the dilution of CO in a California chaparral
smoke plume, as well as the chemical loss of NOx, HONO, and NH3
within the plume, the formation of PAN and O3, the loss of OA, and the
change in the size distribution of aerosols as compared to measurements and
previous single-box model results. The newly coupled model is able to
capture the cross-plume vertical and horizontal concentration gradients as
the fire plume evolves downwind of the emission source. The integration and
evaluation of SAM-ASP version 1.0 presented here will support the
development of parameterizations of near-source biomass burning chemistry
that can be used to more accurately simulate biomass burning chemical and
physical transformations of trace
gases and aerosols within coarser grid-scale CTMs.
Publisher
Copernicus GmbH
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