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dc.rights.license© 2020 The Authors. Published by Elsevier Inc.-
dc.contributor.authorSoria Salinas, Á.-
dc.contributor.authorZorzano, María Paz-
dc.contributor.authorMantas Nakhai, R.-
dc.contributor.authorMartín Torres, Javier-
dc.contributor.otherUnidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737-
dc.date.accessioned2021-04-13T13:28:15Z-
dc.date.available2021-04-13T13:28:15Z-
dc.date.issued2020-08-06-
dc.identifier.citationIcarus 346: 113785(2020)es
dc.identifier.issn0019-1035-
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S0019103520301718-
dc.identifier.urihttp://hdl.handle.net/20.500.12666/305-
dc.descriptionHighlights A novel wind speed retrieval based on REMS temperature data for Mars is proposed. Potential extension of REMS WS 5-min averaged wind speed data beyond MSL sol 1491. Agreement with REMS WS speeds between 36% and 77% of the time for 18:00 - 21:00 LMST. New MSL rover optimal orientation for wind speed retrievals: +60°clockwise (RNAV). Retrieval method applicable to the future payloads of ESA and NASA missions.es
dc.description.abstractThis work presents a novel method for the real-time retrieval of wind speed on the surface of Mars that uses temperature measurements from the Rover Environmental Monitoring Station (REMS) instrument onboard the Curiosity rover of the Mars Science Laboratory (MSL) mission. After final failure of the Wind Sensor (WS) in sol 1491, REMS has not been providing wind data. The new wind retrieval approach that we propose may eventually be able to supply MSL with wind values for contextualizing the rover’s operations and for meteorological studies on the surface of Mars. The new method is based on forced convection modeling of the Air Temperature Sensors (ATS) of REMS as thin rods immersed in the extreme low-pressure and high-radiating atmospheric conditions of the Martian thermal boundary layer at a height of m from the surface. A preliminary validation of the possibilities and limitations of this retrieval has been performed using comparative analysis with existing REMS wind field-site data for the same sols that are available at the Planetary Data System (PDS). We have developed both a “coarse” approach, in which wind speed is determined with no regard to wind direction, and a “refined” method, in which it is attempted to determine both wind speed and direction. Assuming the previously reported WS retrieval errors of 20% for the wind speed, we report an agreement to the WS values of wind speed ranging from 36.4% to 77% of the acquisition time for the “coarse” approach, depending on the sol examined. These promising results are limited to only evening extended acquisitions from 18:00 to 21:00 local mean solar time (LMST). This method could be applied to daytime conditions. The results suggest a new optimal orientation for wind speed retrieval of +60°clockwise with respect to the forward direction of the Curiosity rover, although the technique is not yet ready to be considered for planning of the Curiosity rover operations. This method could extend the wind characterization of the Gale Crater for future Curiosity rover data acquisitions by recycling air temperature measurements and provide the scientific community with a data set for future comparative analysis with the Temperature and Wind Sensors for InSight (TWINS)/InSight, the HabitAbility: Brines, Irradiation and Temperature (HABIT)/ExoMars 2022, and the Mars Environmental Dynamics Analyzer (MEDA)/Mars 2020 rover instruments.es
dc.description.sponsorshipWe are grateful to the entire MSL Curiosity rover team and to the REMS instrument team, in particular, for their work on the wind data on Mars, without which this research could not have been performed. MPZ has been partially funded by the Spanish State Research Agency (AEI) Project No. MDM-2017-0737 Unidad de Excelencia "Maria de Maeztu''-Centro de Astrobiologia (CSIC-INTA). The resources used for the simulations presented in this work were provided by the Graduate School of Space Technology of Lulea University of Technology. We give special thanks to Ricardo M. Fonseca for his useful comments and suggestions on this work that extended the horizons of this research from the beginning.es
dc.language.isoenges
dc.publisherElsevier BVes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMarses
dc.subjectArmospherees
dc.subjectMeteorologyes
dc.titleWind retrieval from temperature measurements from the Rover Environmental Monitoring Station/Mars Science Laboratoryes
dc.typeinfo:eu-repo/semantics/articlees
dc.contributor.orcidMartín Torres, J. [0000-0001-6479-2236]-
dc.contributor.orcidZorzano, M. P. [0000-0002-4492-9650]-
dc.identifier.doi10.1016/j.icarus.2020.113785-
dc.description.peerreviewedPeer reviewes
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501-
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