Planetary atmosphere observation analysis

Abstract:

The Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft has detected as many as 1,125 plasma depletion events (PDEs) in the Martian ionosphere from October 2014 to May 2021. PDEs, characterized by significantly reduced plasma density, elevated electron temperatures, and increased electrostatic fluctuations, remain poorly understood in terms of their formation and spatiotemporal characteristics. This study combines MAVEN data with concurrent observations from Mars Express (MEX) to investigate these aspects. The analysis of PDE recurrence rates across subsequent MAVEN orbits reveals 80 recurring events. These events are formed at the same locations within 18–30 hr. Additionally, we identified two conjugate PDEs observed by both MAVEN and MEX. These observations suggest that PDEs can extend spatially up to 750 km and last for a couple of hours. Our findings suggest that PDEs are large-scale and possibly recurring phenomena, potentially important for ion loss, and that understanding them is important for accurately characterizing the Martian ionosphere.

Abstract:

Plain Language Summary: Earth absorbs energy emitted by the Sun, radiating some of that as heat back into space. The energy exchange between Earth and space drives weather and climate. Scientists measure and track this energy using satellite instruments that can identify which parts of Earth's surface and atmosphere emit specific portions of the overall heat radiated into space. But these instruments are complicated and expensive, and until now, no one has built a sensor that can look at and separate all of Earth's heat emissions in a systematic way. The Polar Radiant Energy in the Far‐InfraRed Experiment (PREFIRE) has developed a novel instrument that combines simple, miniaturized heat sensors with specially shaped optics and microelectronics to provide such measurements to further our understanding of the planet's weather and climate. Furthermore, implementation of the sensors has been done within a cost‐capped mission profile that encourages development of a sustainable sensor system for Earth monitoring. This manuscript describes the instrument design, including its components and their characteristics, the system and its functionality, its trade‐offs, cost limitations, and testing and performance information. PREFIRE began operating two of these instruments in space in 2024, in order to start quantifying the heat exchange processes in Earth's polar regions.

Abstract:

We present a new method, based on a joint application of a principal component analysis (PCA) and Gaussian mixture models (GMM), to automatically find similar groups of spectra in a collection. We applied the method (condensed in the public code chopper.py ) to archival Jupiter spectral data in the 2–5 µm range collected by NASA Juno/JIRAM in its first perijove passage (August 2016) and to mosaics of the great red spot (GRS) acquired by JWST/NIRSpec (July 2022). Using JIRAM data analyzed in previous work, we show that using a PCA+GMM clustering can increase the efficiency of the retrieval stage without any loss of accuracy in terms of the retrieved parameters. We show that a PCA+GMM approach is able to automatically identify spectra of known regions of interest (e.g., belts, zones, GRS) belonging to different clusters. The application of the method to the NIRSpec data leads to detection of substructures inside the GRS, which appears to be composed of an outer halo characterized by low reflectivity and an inner brighter main oval. By applying these techniques to JIRAM data, we were able to identify the same substructure. We remark that these new structures have not been seen before at visible wavelengths. In both cases, the spectra belonging to the inner oval have solar and thermal signals comparable to those belonging to the halo, but they present broadened 2.73 µm solar-reflected peaks. Performing forward simulations with the NEMESIS radiative transfer suite, we propose that the broadening may be caused by differences in the vertical extension of the main cloud layer. This finding is consistent with recent 3D fluid dynamics simulations.

Abstract:

Venus is home to thousands of volcanoes, with a wide range of volumes and sizes. Its surface is relatively young, with a temperature of approximately 735 K and an atmosphere of 92 bar. Past and possible ongoing volcanic outgassing is expected to provide a source to the sustenance of this massive atmosphere, dominated by CO2 and SO2. The lower atmosphere can be investigated in the near-infrared transparency windows on the nightside, such as the 2.3μm thermal emission window, which provides a chance of detection of species with volcanic origin, such as water vapor. The Planetary Spectrum Generator was used to simulate the nightside 2.3μm thermal emission window of Venus. We simulated the effect of a volcanic gas plume rising to a ceiling altitude, for species such as H2O, CO, OCS, HF and SO2. The sensitivity of the radiance spectrum at different wavelengths was explored as an attempt to qualitatively access detection for future measurements of both ground-based and space-instrumentation. We conclude from our qualitative analysis that for the H2O, CO and OCS plumes simulated there is potential to achieve a detection in the future, given a minimum required signal-to-noise ratio of 50. For SO2 and HF plumes, a higher signal-to-noise ratio would be needed.

Abstract:

Context. Hydrogen chloride (HCl) was independently detected in the Martian atmosphere by the Nadir and Occultation for MArs Discovery (NOMAD) and Atmospheric Chemistry Suite (ACS) spectrometers aboard the ExoMars Trace Gas Orbiter (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. This variability includes detection almost exclusively during the dust season, a positive correlation with water vapour, and an anticorrelation with water ice. Aims. 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, as observed by instruments aboard the TGO. Methods. We incorporated this heterogeneous chlorine scheme into the Mars Planetary Climate Model (MPCM). After some refinements to the scheme, mainly associated with it being employed in a 3D model, we used it to model chlorine photochemistry during Mars Years (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. Results. We find that the 3D model of Martian photochemistry using the proposed heterogeneous chemistry 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% of non-detections, 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.