Context images for Venus Express radio occultation measurements: A search for a correlation between temperature structure and UV contrasts in the clouds of Venus

Astronomy & Astrophysics EDP Sciences 698 (2025) a198

Authors:

M Roos-Serote, CF Wilson, RJ MacDonald, S Tellmann, YJ Lee, IV Khatuntsev

Abstract:

Context . Venus exhibits strong and changing contrasts at ultraviolet wavelengths. They appear to be related to the clouds and the dynamics in the cloud layer, but to date their origin continues to be unknown. Aims . We investigate the nature of the UV contrasts exhibited by Venus’ clouds by examining possible correlations between the thermal structure inferred from radio occultation data and UV brightness from imagery data, both observed with Venus Express. Methods . We analysed Venus Express images obtained from 11 hours before to a few hours after the time of radio occultation measurements of the same area. We accounted for the advection of clouds by zonal and meridional winds and applied a phase angle correction to compensate for the changing viewing geometry. Results . We find a possible anti-correlation between UV brightness and atmospheric temperature around an altitude of 67 km for low latitudes, with a one percent probability of this finding being due to chance (p value = 0.01). Heating in this altitude and latitude region due to an increase in the UV absorber has been predicted by radiative forcing studies. The predictions roughly match our observed temperature amplitude between UV-dark and UV-bright regions. Conclusions . This could be the first observational evidence of a direct link between UV brightness and atmospheric temperature in the 65–70 km altitude region in the clouds of Venus.

Characterizing extreme compositions on the moon using thermal infrared spectroscopy

Journal of Geophysical Research: Planets American Geophysical Union 130:5 (2025) e2024JE008814

Authors:

Nandita Kumari, Laura B Breitenfeld, Katherine Shirley, Timothy D Glotch

Abstract:

The ultramafic and silicic rocks on the lunar surface have played an important role in expanding our knowledge regarding its thermal and magmatic evolution. The surface identification and quantification of these rocks on the global scale can significantly improve our understanding of their spatial extents, relationships and formation mechanisms. Christiansen feature positions using Diviner data have aided in global identification and mapping of relatively silica-rich and silica-poor lithologies on the lunar surface. We have used laboratory thermal infrared spectra of silicic and ultramafic rocks to analyze the variation in Christiansen feature in simulated lunar environment. We have characterized the absolute bulk silica content of the rocks and minerals and their Silica, Calcium, Ferrous iron, Magnesium index. We find that they are linearly correlated to the Christiansen feature despite particle size variations. Furthermore, we find that the Christiansen feature shifts toward longer wavelengths with increase in ilmenite content in the ilmenite-basalt mixtures. We have explored the effect of instrument's spectral band position on the accuracy of the parabolic method that is currently used for the estimation of Christiansen feature position from Diviner data. We find that this method performs poorly for the estimation of the Christiansen feature for ultramafic and silicic rocks and minerals/mineral mixtures. We propose using a machine learning algorithm to estimate the Christiansen feature with higher accuracy for all kinds of silicate compositions on the Moon. This method will lead to increased accuracy in absolute quantification of bulk silicate composition of the lunar surface at varying spatial scales.

A Search for the Near‐Surface Particulate Layer Using Venera 13 In Situ Spectroscopic Observations

Journal of Geophysical Research: Planets American Geophysical Union 130:4 (2025) e2024JE008728

Authors:

Shubham V Kulkarni, Patrick GJ Irwin, Colin F Wilson, Nikolai I Ignatiev

Abstract:

Whether or not there is a particulate layer in the lowest 10 km of the Venusian atmosphere is still an open question. Some of the past in situ experiments showed the presence of a detached particulate layer, and a few suggested the existence of finely dispersed aerosols, while other instruments supported the idea of no particulate matter in the deep atmosphere. In this work, we investigate the presence of a near‐surface particulate layer (NSPL) using in situ data from the Venera 13 mission. While the original spectrophotometric data from Venera 13 were lost, we have reconstructed a part of this data by digitizing the old graphic material and selected the eight most reliable Venera 13 downward radiance profiles from 0.48 to 0.8 μ ${\upmu }$ m for our retrievals. The retrievals suggest the existence of the particulate layer with a peak in the altitude range of 3.5–5 km. They further indicate a log‐normal particle size distribution with a mean radius between 0.6 and 0.85 μ ${\upmu }$ m. The retrievals constrain the real refractive index of the particles to lie around the range of 1.4–1.6, with the imaginary refractive index of a magnitude of 10 − 3 ${10}^{-3}$ . Based on refractive index retrievals, uplifted basalt particles or volcanic ash could be responsible for near‐surface particulates. In comparison, volatile condensates appear less likely to be behind the formation of NSPL.

LIRIS: demonstrating how small satellites can revolutionise lunar science data sets

Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 13546 (2025) 135460d-135460d-9

Authors:

A Harvey, L Middlemass, J Friend, N Bowles, T Warren, S Eckersley, S Knox, B Hooper, A da Silva Curiel, K Nowicki, K Shirley

Global Distribution and Seasonality of Martian Atmospheric HCl Explained Through Heterogeneous Chemistry

Geophysical Research Letters Wiley 52:6 (2025) e2024GL111059

Abstract:

Recent observations from the ExoMars Trace Gas Orbiter (TGO) have revealed the presence of hydrogen chloride (HCl) in the martian atmosphere. HCl shows strong seasonality, primarily appearing during Mars' perihelion period before decreasing faster than projected from photolysis and gas‐phase chemistry. HCl profiles also display local anti‐correlation with water ice aerosol. One candidate explanation is heterogeneous chemistry. We present the first results from a heterogeneous chlorine chemistry scheme incorporated into a Mars global climate model (GCM), with atmospheric dust/water ice parameterized as an HCl source/sink respectively. Results were compared against a Mars GCM with gas‐phase only chlorine chemistry and observations from TGO's Atmospheric Chemistry Suite. We found that the heterogeneous scheme significantly improved the modeled HCl seasonal, latitudinal, and vertical distribution, supporting a crucial role for heterogeneous chemistry in Mars' chlorine cycle. Remaining discrepancies show that further work is needed to characterize the exact aerosol reactions involved.