posted on 2025-08-01, 15:23authored byM Braam, PI Palmer, L Decin, RJ Ridgway, M Zamyatina, NJ Mayne, DE Sergeev, NL Abraham
Determining the habitability and interpreting atmospheric spectra of exoplanets requires understanding their atmospheric physics
and chemistry. We use a 3-D Coupled Climate-Chemistry Model, the Met Office Unified Model with the UK Chemistry and
Aerosols framework, to study the emergence of lightning and its chemical impact on tidally-locked Earth-like exoplanets. We
simulate the atmosphere of Proxima Centauri b orbiting in the Habitable Zone of its M-dwarf star, but the results apply to similar
M-dwarf orbiting planets. Our chemical network includes the Chapman ozone reactions and hydrogen oxide (HOx=H+OH+HO2)
and nitrogen oxide (NOx=NO+NO2) catalytic cycles. We find that photochemistry driven by stellar radiation (177–850 nm)
supports a global ozone layer between 20–50 km. We parameterise lightning flashes as a function of cloud-top height and the
resulting production of nitric oxide (NO) from the thermal decomposition of N2 and O2. Rapid dayside convection over and
around the substellar point results in lightning flash rates of up to 0.16 flashes km−2
yr−1
, enriching the dayside atmosphere below
altitudes of 20 km in NOx. Changes in dayside ozone are determined mainly by UV irradiance and the HOx catalytic cycle. ∼45%
of the planetary dayside surface remains at habitable temperatures (Tsurf>273.15 K) and the ozone layer reduces surface UV
radiation levels to 15%. Dayside-nightside thermal gradients result in strong winds that subsequently advect NOx towards the
nightside, where the absence of photochemistry allows NOx chemistry to involve reservoir species. Our study also emphasizes
the need for accurate UV stellar spectra to understand the atmospheric chemistry of exoplanets.
This is the final version. Available on open access from Oxford University Press via the DOI in this record
Data availability: All the CCM data was generated using the Met Office Unified Model and UK Chemistry and Aerosol model (https://www.ukca.ac.uk/), which are available for use under licence; see http://www.metoffice.gov.uk/research/modelling-systems/unifiedmodel. The offline version of Fast-JX is publicly available at https://www.ess.uci.edu/researchgrp/prather/scholar_software/fastjx. The data underlying this article will be shared on reasonable request to the corresponding author. We used the iris (Met Office 2022) and aeolus (Sergeev & Zamyatina 2022) python packages for the post-processing of model output. Scripts to process and visualize the data are available on github:
https://github.com/marrickb/exo_lightning_code