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Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-26
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 23 Mar 2018

Model description paper | 23 Mar 2018

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This discussion paper is a preprint. A revision of the manuscript is under review for the journal Geoscientific Model Development (GMD).

ORACLE 2-D (v2.0): An efficient module to compute the volatility and oxygen content of organic aerosol with a global chemistry – climate model

Alexandra P. Tsimpidi1, Vlassis A. Karydis1, Andrea Pozzer1, Spyros N. Pandis2,3, and Jos Lelieveld1,4 Alexandra P. Tsimpidi et al.
  • 1Max Planck Institute for Chemistry, Mainz, Germany
  • 2Department of Chemical Engineering, University of Patras, Patras, Greece
  • 3Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
  • 4Energy, Environment and Water Research Center, Cyprus Institute, Nicosia, Cyprus

Abstract. A new module, ORACLE 2-D, simulating the organic aerosol formation and evolution in the atmosphere has been developed and evaluated. The module calculates the concentrations of surrogate organic species in two-dimensional space defined by volatility and oxygen-to-carbon ratio. It is implemented into the EMAC global chemistry – climate model, and a comprehensive evaluation of its performance is conducted using an Aerosol Mass Spectrometer (AMS) factor analysis dataset derived from almost all major field campaigns that took place globally during the period 2001–2010. ORACLE 2-D uses a simple photochemical aging scheme that simulates efficiently the net effects of fragmentation and functionalization of the organic compounds. The module predicts not only the mass concentration of organic aerosol (OA) components, but also their oxidation state (in terms of O:C), which allows their classification into primary OA (POA, chemically unprocessed), fresh secondary OA (SOA, low oxygen content) and aged SOA (highly oxygenated). The explicit simulation of chemical OA conversion from freshly emitted compounds to a highly oxygenated state during photochemical aging enables the tracking of hygroscopicity changes of OA that result from these reactions. ORACLE 2-D can thus compute the ability of OA particles to act as cloud condensation nuclei, and serves a tool to quantify the climatic impact of OA.

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A new module, ORACLE 2-D, that calculates the concentrations of surrogate organic species in two-dimensional space defined by volatility and oxygen-to-carbon ratio has been developed and evaluated. ORACLE 2-D uses a simple photochemical aging scheme that simulates efficiently the net effects of fragmentation and functionalization. ORACLE 2-D can be used to compute the ability of organic particles to act as cloud condensation nuclei, and serves a tool to quantify their climatic impact.
A new module, ORACLE 2-D, that calculates the concentrations of surrogate organic species in...
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