A Fast, Semi-analytical Model for the Venusian Binary Cloud System
Longkang Dai, Xi Zhang, Jun Cui

TL;DR
This paper introduces a rapid semi-analytical model for Venusian clouds, capturing vapor and cloud distributions efficiently, enabling extensive parameter exploration and potential coupling with climate and chemistry models.
Contribution
The authors develop a semi-analytical model that significantly accelerates the simulation of Venusian cloud systems compared to microphysical approaches, facilitating large-scale parameter studies.
Findings
The model predicts strong supersaturation of H₂SO₄ vapor above 60 km.
Cloud mass loading responds oppositely in upper and lower clouds to vapor ratios.
Water vapor transport affects cloud acidity across all layers.
Abstract
The Venusian clouds originate from the binary condensation of HSO and HO. The two components strongly interact with each other via chemistry and cloud formation. Previous works adopted sophisticated microphysical approaches to understand the clouds. Here we show that the observed vapor and cloud distributions on Venus can be well explained by a semi-analytical model. Our model assumes local thermodynamical equilibrium for water vapor but not for sulfuric acid vapor, and includes the feedback of cloud condensation and acidity to vapor distributions. The model predicts strong supersaturation of the HSO vapor above 60 km, consistent with our recent cloud condensation model. The semi-analytical model is 100 times faster than the condensation model and 1000 times faster than the microphysical models. This allows us to quickly explore a large parameter space of…
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