Proyecto de Investigación: CIENCIA Y TECNOLOGIA DE INSTRUMENTACION PARA LA CARACTERIZACION DEL ENTORNO MARCIANO EN MULTIPLES MISIONES DE NASA -IV: REMS (FASE E), TWINS (FASE E) Y MEDA (FASE E)
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PID2021-126719OB-C41
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Model Update and Surface Operation Performance of the MEDA-TIRS Radiometer Onboard NASA’s Mars 2020 Perseverance Rover
(Springer Nature, 2025-07-14) Sebastián Martínez, Eduardo; Martínez, Germán M.; Smith, Michael; Peinado, V.; Mora Sotomayor, L.; Vicente Retortillo, Álvaro; Rodríguez Manfredi, J. A.; Ministerio de Economía y Competitividad (MINECO); Ministerio de Ciencia e Innovación (MICINN); Agencia Estatal de Investigación (AEI); National Aeronautics and Space Administration (NASA); Instituto Nacional de Técnica Aeroespacial (España); Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737
We describe new updates in the data retrieval process of the Mars Environmental Dynamics Analyzer Thermal-InfraRed Sensor (MEDA-TIRS) onboard NASA’s Mars 2020 Perseverance rover and analyze its performance under these new updates for the first 700 sols of this mission. The primary goal of these updates is to reduce the uncertainty in each of the quantities measured by TIRS, thereby improving its performance in measuring atmospheric and ground temperature, reflected shortwave solar radiation, and the upwelling and downwelling longwave irradiances across the entire spectrum. Our updates include results from new modeling efforts and tests conducted during the cruise and operational phase on Mars to characterize the electronic conditioning system and to calculate new noise and offset values. Based on the annual degradation rates of the TIRS channel detectors due to dust deposition, we compare projected values of resolution and accuracy to pre-flight requirements. These projections are useful for estimating the radiometer’s lifetime and for using its data in the context of the future Mars Sample Return and other future mission.
Ozone Detector Based on Ultraviolet Observations on the Martian Surface
(Multidisciplinary Digital Publishing Institute, 2024-10-21) Viúdez Moreiras, Daniel; Saiz López, A.; Smith, Michael D.; Apéstigue, Víctor; Arruego, Ignacio; García-Menéndez, Elisa; Jiménez Martín, Juan José; Rodríguez Manfredi, J. A.; Toledo, D.; Wolff, Michael; Zorzano, María-Paz; Ministerio de Ciencia e Innovación (MICINN); Agencia Estatal de Investigación (AEI); Ministerio de Economía y Competitividad (MINECO)
Ozone plays a key role in both atmospheric chemistry and UV absorption in planetary atmospheres. On Mars, upper-tropospheric ozone has been widely characterized by space-based instruments. However, surface ozone remains poorly characterized, hindered by the limited sensitivity of orbiters to the lowest scale height of the atmosphere and challenges in delivering payloads to the surface of Mars, which have prevented, to date, the measurement of ozone from the surface of Mars. Systematic measurements from the Martian surface could advance our knowledge of the atmospheric chemistry and habitability potential of this planet. NASA’s Mars 2020 mission includes the first ozone detector deployed on the Martian surface, which is based on discrete photometric observations in the ultraviolet band, a simple technology that could obtain the first insights into total ozone abundance in preparation for more sophisticated measurement techniques. This paper describes the Mars 2020 ozone detector and its retrieval algorithm, including its performance under different sources of uncertainty and the potential application of the retrieval algorithm on other missions, such as NASA’s Mars Science Laboratory. Pre-landing simulations using the UVISMART radiative transfer model suggest that the retrieval is robust and that it can deal with common issues affecting surface operations in Martian missions, although the expected low ozone abundance and instrument uncertainties could challenge its characterization in tropical latitudes of the planet. Other space missions will potentially include sensors of similar technology.
