The University of Southampton
University of Southampton Institutional Repository

Coupled photochemical and condensation model for the Venus atmosphere

Coupled photochemical and condensation model for the Venus atmosphere
Coupled photochemical and condensation model for the Venus atmosphere
Ground based and Venus Express observations have provided a wealth of information on the vertical and latitudinal distribution of many chemical species in the Venus atmosphere [1,2]. Previous 1D models have focused on the chemistry of either the lower [3] or middle atmosphere [4,5]. Photochemical models focusing on the sulfur gas chemistry have also been independent from models of the sulfuric acid haze and cloud formation [6,7]. In recent years sulfur-bearing particles have become important candidates for the observed SO2 inversion above 80 km [5]. To test this hypothesis it is import to create a self-consistent model that includes photochemistry, transport, and cloud condensation.In this work we extend the domain of the 1D chemistry model of Zhang et al. (2012) [5] to encompass the region between the surface to 110 km. This model includes a simple sulfuric acid condensation scheme with gravitational settling. It simultaneously solves for the chemistry and condensation allowing for self-consistent cloud formation. We compare the resulting chemical distributions to observations at all altitudes. We have also validated our model cloud mass against pioneer Venus observations [8]. This updated full atmosphere chemistry model is also being applied in our 2D solver (altitude and altitude). With this 2D model we can model how the latitudinal distribution of chemical species depends on the meridional circulation. This allows us to use the existing chemical observations to place constraints on Venus GCMs [9-11].References: [1] Arney et al., JGR:Planets, 2014 [2] Vandaele et al., Icarus 2017 (pt. 1 & 2) [3] Krasnopolsky, Icarus, 2007 [4] Krasnopolsky, Icarus, 2012 [5] Zhang et al., Icarus 2012 [6] Gao et al., Icarus, 2014 [7] Krasnopolsky, Icarus, 2015 [8] Knollenberg and Hunten, JGR:Space Physics, 1980 [9] Lee et al., JGR:Planets, 2007 [10] Lebonnois et al., Towards Understanding the Climate of Venus, 2013 [11] Mendoncca and Read, Planetary and Space Science, 2016

...
Bierson, Carver
a1590f12-ad52-4984-b1e1-645cbb028363
Zhang, Xi
cf867d1b-ba43-4c31-9c21-7730573f8ff6
Mendonca, Joao
cb29fe08-eb94-4fad-8eba-eac1c5de491b
Liang, Mao-Chang
0bea7aee-0503-4acf-8edb-105363133bb6
Bierson, Carver
a1590f12-ad52-4984-b1e1-645cbb028363
Zhang, Xi
cf867d1b-ba43-4c31-9c21-7730573f8ff6
Mendonca, Joao
cb29fe08-eb94-4fad-8eba-eac1c5de491b
Liang, Mao-Chang
0bea7aee-0503-4acf-8edb-105363133bb6

Bierson, Carver, Zhang, Xi, Mendonca, Joao and Liang, Mao-Chang (2017) Coupled photochemical and condensation model for the Venus atmosphere. <br/> American Astronomical Society, DPS meeting #49. 01 Oct 2017.

Record type: Conference or Workshop Item (Other)

Abstract

Ground based and Venus Express observations have provided a wealth of information on the vertical and latitudinal distribution of many chemical species in the Venus atmosphere [1,2]. Previous 1D models have focused on the chemistry of either the lower [3] or middle atmosphere [4,5]. Photochemical models focusing on the sulfur gas chemistry have also been independent from models of the sulfuric acid haze and cloud formation [6,7]. In recent years sulfur-bearing particles have become important candidates for the observed SO2 inversion above 80 km [5]. To test this hypothesis it is import to create a self-consistent model that includes photochemistry, transport, and cloud condensation.In this work we extend the domain of the 1D chemistry model of Zhang et al. (2012) [5] to encompass the region between the surface to 110 km. This model includes a simple sulfuric acid condensation scheme with gravitational settling. It simultaneously solves for the chemistry and condensation allowing for self-consistent cloud formation. We compare the resulting chemical distributions to observations at all altitudes. We have also validated our model cloud mass against pioneer Venus observations [8]. This updated full atmosphere chemistry model is also being applied in our 2D solver (altitude and altitude). With this 2D model we can model how the latitudinal distribution of chemical species depends on the meridional circulation. This allows us to use the existing chemical observations to place constraints on Venus GCMs [9-11].References: [1] Arney et al., JGR:Planets, 2014 [2] Vandaele et al., Icarus 2017 (pt. 1 & 2) [3] Krasnopolsky, Icarus, 2007 [4] Krasnopolsky, Icarus, 2012 [5] Zhang et al., Icarus 2012 [6] Gao et al., Icarus, 2014 [7] Krasnopolsky, Icarus, 2015 [8] Knollenberg and Hunten, JGR:Space Physics, 1980 [9] Lee et al., JGR:Planets, 2007 [10] Lebonnois et al., Towards Understanding the Climate of Venus, 2013 [11] Mendoncca and Read, Planetary and Space Science, 2016

...

This record has no associated files available for download.

More information

Published date: October 2017
Venue - Dates: <br/> American Astronomical Society, DPS meeting #49, 2017-10-01 - 2017-10-01

Identifiers

Local EPrints ID: 496947
URI: http://eprints.soton.ac.uk/id/eprint/496947
PURE UUID: d00f6de0-0fa3-4b36-8f3f-28b22263e6b2
ORCID for Joao Mendonca: ORCID iD orcid.org/0000-0002-6907-4476

Catalogue record

Date deposited: 08 Jan 2025 15:10
Last modified: 10 Jan 2025 03:21

Export record

Contributors

Author: Carver Bierson
Author: Xi Zhang
Author: Joao Mendonca ORCID iD
Author: Mao-Chang Liang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×