The rich meteorological dataset of the InSight Mars mission.
- 1Aeolis Research, Chandler, USA (claire@aeolisresearch.com)
- 2The Open University, Milton Keynes, UK
- 3Sorbonne Université, Paris, France
- 4Laboratoire de Météorologie Dynamique, Paris, France
- 5Centro de Astrobiología, Madris, Spain
- 6KU Leuven, Leuven, Belgium
- 7Royal Observatory of Belgium, Brussels, Belgium
- 8NASA Ames, Mountain View, USA
- 9German Aerospace Center (DLR), Berlin, Germany
- 10Imperial College London, London, UK
- 11Applied Physics Lab, Laurel, USA
While its primary objectives were to study the interior of Mars and its present day seismic activity, the InSight lander also carried several meteorological sensors (primarily needed to differentiate true seismic signals from those produced by wind or passing vortices, or as part of a heat flow experiment) as well as cameras which could be used to monitor atmospheric and surface changes [1-6]. Although power became increasingly limited due to dust build-up on the lander’s solar panels [7], InSight’s Pressure Sensor measured nearly continuously at up to 20Hz for ~1.25 Mars years, giving the highest frequency pressure dataset yet obtained on Mars [8,9]. The Temperature and Winds for InSight (TWINS) instrument consisted of two booms pointing in opposite directions (such that at least one sensor would measure winds from a given direction with minimal influence from lander hardware). Each boom measured air temperature and winds at 1Hz nearly continuously for over one Mars year [8,10]. The Heat Flow and Physical Properties Package (HP3) regularly measured the diurnal variation of surface temperature [11,12], while aeolian observations revealed that vortices rather than linear wind stress were associated with the majority of particle motion events [10,13]. We will provide an overview of InSight’s meteorological and aeolian datasets, and show how we are using them to validate the predictions of four global and four mesoscale atmospheric models of InSight’s landing site in Elysium Planitia. The models used include Aeolis Research’s multiscale MarsWRF model (run at global and mesoscales) [14,15], the Open University’s global Mars model (in the form of the OpenMars reanalysis dataset, produced via data assimilation) [16], the global Mars version of LMD’s Planetary Climate Model [17], LMD’s mesoscale Mars model [18], and the Belgian version of the MarsWRF global model [19]. This work goes beyond previous pre-landing multi-model intercomparison and prediction efforts [e.g., 14] by assessing the performance of models against data and attempting to understand the reasons for differences, with the dual goals of better understanding the causes of weather phenomena at InSight and of improving Mars atmospheric model predictions of the near-surface environment. This is vital not only for improving future landing site predictions (which are key to planning Entry-Descent-Landing and surface mission operations), including the expected dust clearing from solar panels [7,20], but also for Mars science in general, such as improving the prediction of near-surface wind and dust lifting globally in order to better simulate the martian dust cycle and dust storms [21].
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[14] Newman, C.E., M. de la Torre Juárez, J. Pla-García, et al. (2021). Multi-model Meteorological and Aeolian Predictions for Mars 2020 and the Jezero Crater Region, Space Sci. Rev., 217 (20), https://doi.org/10.1007/s11214-020-00788-2
[15] Newman, C.E., Hueso, R., Lemmon, M., et al. (2022). The dynamic atmospheric and aeolian environment of Jezero crater, Mars, Sci Adv., 8 (21), eabn3783, https://doi.org/10.1126/sciadv.abn3783
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[17] Lange, L., Forget, F., Banfield, D., et al. (2022). Insight pressure data recalibration, and its application to the study of long-term pressure changes on Mars. Journal of Geophysical Research: Planets, 127, e2022JE007190. https://doi.org/10.1029/2022JE007190
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[20] Lorenz, R. D., Lemmon, M. T., Maki, et al. (2020). Scientific observations with the InSight solar arrays: Dust, clouds, and eclipses on Mars. Earth and Space Science, 7, e2019EA000992. https://doi.org/10.1029/2019EA000992
[21] Newman, C.E., Bertrand, T., Battalio, J.M., et al. (2021). Toward More Realistic Simulation and Prediction of Dust Storms on Mars, Bulletin of the AAS, 53 (4), https://doi.org/10.3847/25c2cfeb.726b0b65
How to cite: Newman, C., Lewis, S., Spiga, A., Forget, F., Pla Garcia, J., Ruiz, M., Temel, O., Karatekin, O., Berk Senel, C., Banfield, D., Rodriguez Manfredi, J. A., Navarro, S., Lepinette, A., Lange, L., Mueller, N., Grott, M., Spohn, T., Charalambous, C., and Lorenz, R.: The rich meteorological dataset of the InSight Mars mission., Europlanet Science Congress 2024, Berlin, Germany, 8–13 Sep 2024, EPSC2024-1117, https://doi.org/10.5194/epsc2024-1117, 2024.