A 3D model simulation of hydrogen chloride photochemistry on Mars: Comparison with satellite data

TL;DR

This study develops a 3D photochemical model incorporating heterogeneous chlorine chemistry to accurately simulate hydrogen chloride variations in the Martian atmosphere, aligning well with satellite observations during different dust conditions.

Contribution

It introduces a novel 3D global model with heterogeneous chemistry, improving the understanding of HCl dynamics on Mars compared to previous gas-phase only models.

Findings

Model reproduces observed HCl variations during dust storm and clear conditions.

Heterogeneous chemistry is essential for accurate HCl loss modeling.

HCl correlates with water vapour, dust, and temperature, and anticorrelates with water ice.

Abstract

HCl was detected in the Martian atmosphere by the NOMAD and ACS spectrometers aboard the ExoMars TGO. Photochemical models show that using gas-phase chemistry alone is insufficient to reproduce these data. Recent work has developed a heterogeneous chemical network within a 1D photochemistry model, guided by the seasonal variability in HCl. The aim of this work is to show that incorporating heterogeneous chlorine chemistry into a global 3D model of Martian photochemistry with conventional gas-phase chemistry can reproduce spatial and temporal changes in hydrogen chloride on Mars. We incorporated this heterogeneous chlorine scheme into the MPCM to model chlorine photochemistry during MYs 34 and 35. These two years provide contrasting dust scenarios, with MY 34 featuring a global dust storm. We also examined correlations in the model results between HCl and other key atmospheric quantities, as well as production and loss processes, to understand the impact of different factors driving changes in HCl. We find that this 3D model of Martian is consistent with the changes in HCl observed by ACS in MY 34 and MY 35, including detections and 70% of non-detections. For the remaining 30%, model HCl is higher than the ACS detection limit due to biases associated with water vapour, dust, or water ice content at these locations. As with previous 1D model calculations, we find that heterogeneous chemistry is required to describe the loss of HCl, resulting in a lifetime of a few sols that is consistent with the observed seasonal variation in HCl. As a result of this proposed chemistry, modelled HCl is correlated with water vapour, airborne dust, and temperature, and anticorrelated with water ice. Our work shows that this chemical scheme enables the reproduction of aphelion detections in MY 35.