The DREAMS experiment on the ExoMars 2016 mission for the study of Martian environment during the dust storm season
Bettanini, C. ; Esposito, F. ; Debei, S. ; ...Mugnuolo, R. ; ...Pirrotta, S. ; ...Marchetti, E.
May - 2014
DOI: 10.1109/MetroAeroSpace.2014.6865914
ISBN : 978-1-4799-2069-3

Event Title :
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type: Conference Proceedings

The ExoMars programme, which is carried out by European Space Agency (ESA) in cooperation with the Russian federal Space Agency (Roscosmos), foresees a two-steps mission to Mars. The first mission consists of an orbiter and an Entry Descent and Landing Demonstrator Module (EDM) to be launched in January 2016 and is scheduled to land on the planet during the statistical dust storm season; the second mission includes a descent module, a surface platform and a rover and will be launched in 2018. The DREAMS (Dust characterization, Risk assessment and Environment Analyser on the Martian Surface) experiment for ExoMars 2016 is an autonomous meteorological station designed to study the effect of dust on Martian environment which will operate for two Martian days (sols) relying on its own power supply after landing. DREAMS includes a suite of sensors able to analyse temperature, pressure, humidity, wind speed and direction and solar irradiance as well as an electric field probe which will perform the first electrical characterization of Mars surface atmosphere.

keywords : AD 2016 01,Atmospheric measurements,DREAMS experiment,European Space Agency,ExoMars,ExoMars 2016 mission,ExoMars programme,Extraterrestrial measurements,Mars,Mars dust storm,Mars surface atmosphere,Martian environment,Roscosmos,Russian federal Space Agency,Temperature measurement,Temperature sensors,aerospace instrumentation,atmospheric electric phenomena,autonomous instrument,autonomous meteorological station,electric field probe,electrical characterization,entry descent demonstrator module,humidity analysis,landing demonstrator module,meteorological measurements,planetary atmospheres,pressure analysis,solar irradiance,space vehicles,statistical dust storm season,temperature analysis,wind direction,wind speed