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Identifying Chemical and Optical Smoke Signatures in Suborbital Observations to Improve Model ProjectionsBiomass Burning (BB) fires are expected to occur more frequently in the future due to climate change, the build‐up of fuels due to fire suppression, and the expansion of the wildland‐urban interface [Schoennagel et al., 2017; Shivdenko & Schepaschenko, 2013; Stevens et al., 2014; Turner et al., 2019; Yue et al., 2015; Tilman et al., 2001]. Accurate knowledge of the abundance, distribution, and optical properties of absorbing aerosols such as BB smoke is essential to understanding regional and global aerosol radiative effects [Boucher et al., 2013].

It is recognized that differing fuel types (e.g., rice straw, ponderosa pine), combustion modes (i.e., flaming, smoldering or both) and temperature/ moisture content produce smoke with differing optical characteristics (e.g., aerosol light scattering and absorption) and component mixing ratios [e.g., BC, OC and inorganic species such as sulfate, potassium, chloride; Streets et al. 2003; Reid et al., 2005a, b; Janhäll et al., 2010; Sayer et al., 2014]. However, climate models often ascribe a fixed set of emission factors [i.e., amount of particulate for a given species released in the atmosphere per unit dry fuel burned; Darmenov and Dasilva, 2013] and optical properties [Hess et al., 1998] to all BB aerosol plumes, inherently limiting accurate representation of the global and regional heterogeneity of BB.

The overarching goal of the proposed work is to improve the microphysical and optical representation of different types of Biomass Burning in Chemistry Transport Models.

Our strategy is to capitalize on multiple airborne campaigns (e.g., ARCTAS, SEAC4RS, ORACLES, FIREX-AQ), which sampled different types of BB plumes at different aging stages.

Models, when improved and combined with satellite, airborne, and ground observations will help address many aerosol science objectives from the NASA Decadal survey [National Academies of Sciences, Engineering, and Medicine. 2018].
Document ID
20205010844
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Meloe Shenandoah F Kacenelenbogen
(Ames Research Center Mountain View, California, United States)
Qian Tan
(Bay Area Environmental Research Institute Petaluma, California, United States)
Huisheng Bian
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Gregory L Schuster
(Langley Research Center Hampton, Virginia, United States)
Connor Joseph Flynn ORCID
(The University of Oklahoma Richland, Washington, United States)
Kristina Pistone
(Bay Area Environmental Research Institute Petaluma, California, United States)
Samuel Leblanc
(Bay Area Environmental Research Institute Petaluma, California, United States)
Michal Segal Rozenhaimer
(Bay Area Environmental Research Institute Petaluma, California, United States)
Mian Chin
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Peter R Colarco
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Jose-Luis Jimenez
(University of Colorado Boulder Boulder, Colorado, United States)
Jens Redemann
(The University of Oklahoma Mountain View, California, United States)
O. P. Hasekamp
(Netherlands Institute for Space Research Utrecht, Netherlands)
Sharon P. Burton
(Langley Research Center Hampton, Virginia, United States)
Karl Froyd
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Joshua.p.schwarz@noaa.gov
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Date Acquired
November 30, 2020
Subject Category
Inorganic, Organic And Physical Chemistry
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Meteorological Society (AMS)
Location: Virtual
Country: US
Start Date: January 10, 2021
End Date: January 15, 2021
Sponsors: American Meteorological Society
Funding Number(s)
WBS: TBD
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
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