Title: A simplified parameterization of isoprene-epoxydiol-derived secondary organic aerosol (IEPOX-SOA) for global chemistry and climate models: a case study with GEOS-Chem v11-02-rc

Abstract

Secondary organic aerosol derived from isoprene epoxydiols (IEPOX-SOA) is thought to contribute the dominant fraction of total isoprene SOA, but the current volatility-based lumped SOA parameterizations are not appropriate to represent the reactive uptake of IEPOX onto acidified aerosols. A full explicit modeling of this chemistry is however computationally expensive owing to the many species and reactions tracked, which makes it difficult to include it in chemistry–climate models for long-term studies. Here we present three simplified parameterizations (version 1.0) for IEPOX-SOA simulation, based on an approximate analytical/fitting solution of the IEPOX-SOA yield and formation timescale. The yield and timescale can then be directly calculated using the global model fields of oxidants, NO, aerosol pH and other key properties, and dry deposition rates. The advantage of the proposed parameterizations is that they do not require the simulation of the intermediates while retaining the key physicochemical dependencies. We have implemented the new parameterizations into the GEOS-Chem v11-02-rc chemical transport model, which has two empirical treatments for isoprene SOA (the volatility-basis-set, VBS, approach and a fixed 3% yield parameterization), and compared all of them to the case with detailed fully explicit chemistry. The best parameterization (PAR3) captures the global tropospheric burden of IEPOX-SOA andmore » its spatiotemporal distribution (R²=0.94) vs. those simulated by the full chemistry, while being more computationally efficient (~5 times faster), and accurately captures the response to changes in NO_x and SO₂ emissions. On the other hand, the constant 3 % yield that is now the default in GEOS-Chem deviates strongly (R²=0.66), as does the VBS (R²=0.47, 49% underestimation), with neither parameterization capturing the response to emission changes. With the advent of new mass spectrometry instrumentation, many detailed SOA mechanisms are being developed, which will challenge global and especially climate models with their computational cost. The methods developed in this study can be applied to other SOA pathways, which can allow including accurate SOA simulations in climate and global modeling studies in the future.« less

Authors:

Jo, Duseong S. ;

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• Search DOE PAGES for ORCID "0000-0002-7794-1277"

Hodzic, Alma; Emmons, Louisa K. ;

• Search DOE PAGES for author "Emmons, Louisa K."
• Search DOE PAGES for ORCID "0000-0003-2325-6212"

Marais, Eloise A. ;

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• Search DOE PAGES for ORCID "0000-0001-5477-8051"

Peng, Zhe ;

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• Search DOE PAGES for ORCID "0000-0002-6823-452X"

Nault, Benjamin A. ;

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• Search DOE PAGES for ORCID "0000-0001-9464-4787"

Hu, Weiwei; Campuzano-Jost, Pedro ;

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• Search DOE PAGES for ORCID "0000-0003-3930-010X"

Jimenez, Jose L.

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• Search DOE PAGES for ORCID "0000-0001-6203-1847"

Publication Date:

Mon Jul 15 00:00:00 EDT 2019

Research Org.:

Univ. of Colorado, Boulder, CO (United States)

Sponsoring Org.:

USDOE Office of Science (SC)

OSTI Identifier:

1542516

Alternate Identifier(s):

OSTI ID: 1612642

Grant/Contract Number:  

SC0016559

Resource Type:

Published Article

Journal Name:

Geoscientific Model Development (Online)

Additional Journal Information:

Journal Name: Geoscientific Model Development (Online) Journal Volume: 12 Journal Issue: 7; Journal ID: ISSN 1991-9603

Publisher:

Copernicus Publications, EGU

Country of Publication:

Germany

Language:

English

Subject:

58 GEOSCIENCES; Geology