Atmospheric Chemistry and Physics (Sep 2024)

Technical note: Nighttime OH and HO<sub>2</sub> chemical equilibria in the mesosphere–lower thermosphere

  • M. Yu. Kulikov,
  • M. Yu. Kulikov,
  • M. V. Belikovich,
  • M. V. Belikovich,
  • A. G. Chubarov,
  • A. G. Chubarov,
  • S. O. Dementyeva,
  • A. M. Feigin,
  • A. M. Feigin

DOI
https://doi.org/10.5194/acp-24-10965-2024
Journal volume & issue
Vol. 24
pp. 10965 – 10983

Abstract

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​​​​​​​At the altitudes of the mesosphere–lower thermosphere, OH and HO2 play a significant role in many physicochemical processes. Thus, monitoring their spatiotemporal evolution, together with other chemically active trace gases, is one of the most important problems for this atmosphere region, in which direct measurements are difficult. This paper studies the nighttime OH and HO2 chemical equilibria using the 3D chemical transport modeling within the general approach, which includes the identification of the main sources and sinks in the equilibrium space–time areas and the derivation of analytical criteria for equilibrium validity. The presented analysis shows that there are extended areas where nighttime HO2 and OH are close to their local equilibrium concentrations, determined mainly by the reaction between HOx and Ox components among themselves and with H2O2, N, NO, NO2, and CO. In the upper mesosphere–lower thermosphere, the equilibrium expressions can be shortened so that they include the HOx–Ox chemistry only. These expressions describe the HO2 and OH equilibria from the top down to some boundaries, the altitude positions of which vary in the interval between 72–73 and 85 km and depend essentially on season and latitude. The developed analytical criteria reproduce the main features of these boundaries well almost everywhere. Due to weak sensitivity to uncertainties of reaction rates and other parameters, the criteria can be regarded as a robust instrument for HO2 and OH equilibrium validation. The obtained results allow us to extend previously proposed methods for the retrieval of poorly measured components from measurement data and to develop new approaches.