Atmospheric distribution of HCN from satellite observations and 3-D model simulations

Bruno, Antonio G.; Harrison, Jeremy J.; Chipperfield, Martyn P.; Moore, David P.; Pope, Richard J.; Wilson, Christopher; Mahieu, Emmanuel; Notholt, Justus

doi:https://doi.org/10.5194/acp-23-4849-2023

Articles | Volume 23, issue 8

https://doi.org/10.5194/acp-23-4849-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-4849-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 8

Research article

|

24 Apr 2023

Research article |

| 24 Apr 2023

Atmospheric distribution of HCN from satellite observations and 3-D model simulations

Antonio G. Bruno, Jeremy J. Harrison, Martyn P. Chipperfield, David P. Moore, Richard J. Pope, Christopher Wilson, Emmanuel Mahieu, and Justus Notholt

Supplement

https://doi.org/10.5194/acp-23-4849-2023-supplement

Data sets

Atmospheric Distribution of HCN from Satellite Observations and 3-D Model Simulations - TOMCAT data A. G. Bruno, M. P. Chipperfield, J. J. Harrison, D. P. Moore, R. J. Pope, and C. Wilson https://doi.org/10.5281/zenodo.7228632

Atmospheric Chemistry Experiment SciSat Level 2 Processed Data, v4.0 P. Bernath, J. Steffen, J. Crouse, and C. Boone https://doi.org/10.20383/101.0291

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Short summary

A 3-D chemical transport model, TOMCAT; satellite data; and ground-based observations have been used to investigate hydrogen cyanide (HCN) variability. We found that the oxidation by O(¹D) drives the HCN loss in the middle stratosphere and the currently JPL-recommended OH reaction rate overestimates HCN atmospheric loss. We also evaluated two different ocean uptake schemes. We found them to be unrealistic, and we need to scale these schemes to obtain good agreement with HCN observations.