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Local-time dependence of chemical species in the Venusian mesosphere

Local-time dependence of chemical species in the Venusian mesosphere
Local-time dependence of chemical species in the Venusian mesosphere
Observed chemical species in the Venusian mesosphere show local-time variabilities. SO2 at the cloud top exhibits two local maxima over local time, H2O at the cloud top is uniformly distributed, and CO in the upper atmosphere shows a statistical difference between the two terminators. In this study, we investigated these local-time variabilities using a three-dimensional (3D) general circulation model (GCM) in combination with a two-dimensional (2D) chemical transport model (CTM). Our simulation results agree with the observed local-time patterns of SO2, H2O, and CO. The two-maximum pattern of SO2 at the cloud top is caused by the superposition of the semidiurnal thermal tide and the retrograde superrotating zonal (RSZ) flow. SO2 above 85 km shows a large day–night difference resulting from both photochemistry and the subsolar-to-antisolar (SS-AS) circulation. The transition from the RSZ flows to SS-AS circulation can explain the CO difference between two terminators and the displacement of the CO local-time maximum with respect to the antisolar point. H2O is long-lived and exhibits very uniform distribution over space. We also present the local-time variations of HCl, ClO, OCS, and SO simulated by our model and compare to the sparse observations of these species. This study highlights the importance of multidimensional CTMs for understanding the interaction between chemistry and dynamics in the Venusian mesosphere.
Shao, Wencheng D.
873d3e33-560b-4d60-8e3d-0c7c74990ee8
Zhang, Xi
cf867d1b-ba43-4c31-9c21-7730573f8ff6
Mendonça, João
cb29fe08-eb94-4fad-8eba-eac1c5de491b
Encrenaz, Thérèse
882108ce-3ffe-45a0-b6b1-068795548815
Shao, Wencheng D.
873d3e33-560b-4d60-8e3d-0c7c74990ee8
Zhang, Xi
cf867d1b-ba43-4c31-9c21-7730573f8ff6
Mendonça, João
cb29fe08-eb94-4fad-8eba-eac1c5de491b
Encrenaz, Thérèse
882108ce-3ffe-45a0-b6b1-068795548815

Shao, Wencheng D., Zhang, Xi, Mendonça, João and Encrenaz, Thérèse (2022) Local-time dependence of chemical species in the Venusian mesosphere. The Planetary Science Journal, 3 (3). (doi:10.3847/PSJ/ac3bd3).

Record type: Article

Abstract

Observed chemical species in the Venusian mesosphere show local-time variabilities. SO2 at the cloud top exhibits two local maxima over local time, H2O at the cloud top is uniformly distributed, and CO in the upper atmosphere shows a statistical difference between the two terminators. In this study, we investigated these local-time variabilities using a three-dimensional (3D) general circulation model (GCM) in combination with a two-dimensional (2D) chemical transport model (CTM). Our simulation results agree with the observed local-time patterns of SO2, H2O, and CO. The two-maximum pattern of SO2 at the cloud top is caused by the superposition of the semidiurnal thermal tide and the retrograde superrotating zonal (RSZ) flow. SO2 above 85 km shows a large day–night difference resulting from both photochemistry and the subsolar-to-antisolar (SS-AS) circulation. The transition from the RSZ flows to SS-AS circulation can explain the CO difference between two terminators and the displacement of the CO local-time maximum with respect to the antisolar point. H2O is long-lived and exhibits very uniform distribution over space. We also present the local-time variations of HCl, ClO, OCS, and SO simulated by our model and compare to the sparse observations of these species. This study highlights the importance of multidimensional CTMs for understanding the interaction between chemistry and dynamics in the Venusian mesosphere.

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Accepted/In Press date: 19 November 2021
Published date: 12 January 2022

Identifiers

Local EPrints ID: 497508
URI: http://eprints.soton.ac.uk/id/eprint/497508
PURE UUID: 9671255f-cc78-4e38-b0f4-02558f627d13
ORCID for João Mendonça: ORCID iD orcid.org/0000-0002-6907-4476

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Date deposited: 24 Jan 2025 17:34
Last modified: 25 Jan 2025 03:20

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Contributors

Author: Wencheng D. Shao
Author: Xi Zhang
Author: João Mendonça ORCID iD
Author: Thérèse Encrenaz

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