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    Determining Nighttime Atmospheric Optical Depth Using Mars Exploration Rover Images

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    BEAN-THESIS-2013.pdf (8.110Mb)
    KMBMastersThesis2013_ThesisOfficeEditsRound3.doc (3.001Mb)
    Date
    2013-07-22
    Author
    Bean, Keri Marie
    Metadata
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    Abstract
    Martian clouds and dust play an important part of the radiative transfer and energy balance budget. To assist in fully understanding the impact of clouds and dust, the complete diurnal cycle needs to be characterized. One of the best methods to track diurnal variations on Mars is by measuring optical depth. The spatial and temporal trends of optical depth give insight into the dust and water cycles of the Martian atmosphere. Until now, spacecraft could only obtain optical depth during the day. In this thesis, nighttime images from the Mars Exploration Rover Spirit are used to calculate nighttime optical depth using photometric methods to capture star flux. Bright stars in well-known constellations are used in this analysis. The observed flux was compared to the expected flux to give nighttime optical depth values. The observed nighttime optical depth was consistently similar to the daytime optical depth values on both an individual image and sol-averaged basis. Recommendations are made going forward to use the Mars Science Laboratory Curiosity for conducting an optimal nighttime optical depth campaign to fully characterize the diurnal dust and water cycles of Mars. The Curiosity rover is well suited for nighttime imaging and can potentially provide valuable insight into the nighttime dust and cloud trends.
    URI
    https://hdl.handle.net/1969.1/151097
    Subject
    Mars
    atmosphere
    clouds
    dust
    optical depth
    opacity
    night
    imaging
    images
    cameras
    camera
    photometry
    spacecraft
    Mars Exploration Rover
    Spirit
    Mars Science Laboratory
    Curiosity
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    • Electronic Theses, Dissertations, and Records of Study (2002– )
    Citation
    Bean, Keri Marie (2013). Determining Nighttime Atmospheric Optical Depth Using Mars Exploration Rover Images. Master's thesis, Texas A & M University. Available electronically from https : / /hdl .handle .net /1969 .1 /151097.

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