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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-9
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-9
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 05 Feb 2019

Development and technical paper | 05 Feb 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

A simplified parameterization of isoprene-epoxydiol-derived secondary organic aerosol (IEPOX-SOA) for global chemistry and climate models

Duseong S. Jo1,2, Alma Hodzic3,4, Louisa K. Emmons3, Eloise A. Marais5, Zhe Peng1,2, Benjamin A. Nault1,2, Weiwei Hu1,2, Pedro Campuzano-Jost1,2, and Jose L. Jimenez1,2 Duseong S. Jo et al.
  • 1Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
  • 2Department of Chemistry, University of Colorado, Boulder, CO, USA
  • 3Atmospheric Chemistry Observations and Modeling Lab., National Center for Atmospheric Research, Boulder, CO, USA
  • 4Laboratoire d’Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
  • 5Department of Physics and Astronomy, University of Leicester, Leicester, UK

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 modelling 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 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 physico-chemical 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 full chemistry. The best parameterization (PAR3) captures the global tropospheric burden of IEPOX-SOA and its spatio-temporal distribution (R2 = 0.93) vs. those simulated by the full chemistry, while being more computationally efficient (~ 5 times faster), and accurately captures the response to changes on NOx and SO2 emissions. On the other hand, the constant 3 % yield that is now default in GEOS-Chem deviates strongly (R2 = 0.65, 63 % underestimation), as does the VBS (R2 = 0.45, 78 % 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.

Duseong S. Jo et al.
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Status: final response (author comments only)
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Short summary
We developed a parameterization method for secondary organic aerosol derived from isoprene epxydiols based on the detailed chemical mechanism. Our parameterizations were tested using a box model and 3-D chemical transport model, which accurately captured the spatiotemporal distribution and response to changes on emissions, while being more computationally efficient. The method developed in this study can be applied to global climate models for long-term studies with less computational cost.
We developed a parameterization method for secondary organic aerosol derived from isoprene...
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