Box Model Intercomparison of Cloud Chemistry

Mary C. Barth, Barbara Ervens, Hartmut Herrmann, Andreas Tilgner, V. Faye McNeill, William Gang Tsui, Laurent Deguillaume, Nadine Chaumerliac, Annmarie Carlton, Sara M. Lance

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Chemical processes in clouds and fogs can substantially alter atmospheric oxidant budgets and lead to aerosol mass formation. However, many regional and global models do not include detailed aqueous-phase chemical mechanisms due to the (a) lack of complete understanding of the chemical processes and (b) computational burden of adding constituents. Current gas-aqueous chemistry 0-dimensional models were evaluated in a cloud-chemistry box model intercomparison based on a mid-September 2016 cloud chemistry event at Whiteface Mountain, New York. Multiphase mechanisms in the five participating models ranged from those appropriate for 3-d models to highly complex with thousands of reactions. This study focused on oxidant levels in both phases and aqueous-phase sulfate and organic acid formation. Comparison of gas-phase-only chemistry gives very similar oxidant predictions at night but shows significant differences during daytime with the hydroxyl radical (OH) variability of about an order of magnitude. The variability in the model results increases substantially with aqueous chemistry due to different Henry's Law constants, aqueous-phase reaction rate constants, and chemical mechanisms. Using a prescribed liquid water content and pH value of 4.5, modeled aqueous OH, aldehyde, and organic acid concentrations differ by over an order of magnitude in daytime. Simulations were also conducted at a pH = 5.1, predicted variable pH, and with added transition metal ion chemistry. While we compare predicted and measured inorganic anions and water-soluble organic carbon, we cannot do so for aqueous-phase oxidant concentrations due to the lack of measurements. We highlight a need for recommended equilibrium and aqueous-phase rate constants.

Original languageEnglish
Article numbere2021JD035486
JournalJournal of Geophysical Research: Atmospheres
Volume126
Issue number21
DOIs
StatePublished - Nov 16 2021

Keywords

  • chemistry
  • cloud
  • modeling

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