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Steven W. Lee

Researcher at Space Science Institute

Publications -  7
Citations -  1388

Steven W. Lee is an academic researcher from Space Science Institute. The author has contributed to research in topics: Mars Exploration Program & Orbiter. The author has an hindex of 6, co-authored 7 publications receiving 1120 citations. Previous affiliations of Steven W. Lee include Denver Museum of Nature and Science.

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Context Camera Investigation on board the Mars Reconnaissance Orbiter

TL;DR: The Context Camera (CTX) on the Mars Reconnaissance Orbiter (MRO) is a Facility Instrument (i.e., government-furnished equipment operated by a science team not responsible for design and fabrication) designed, built, and operated by Malin Space Science Systems and the MRO Mars Color Imager team (MARCI) as mentioned in this paper.
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Climate, weather, and north polar observations from the Mars Reconnaissance Orbiter Mars Color Imager

TL;DR: The Mars Reconnaissance Orbiter observes Mars from a nearly circular, polar orbit as mentioned in this paper, and the Mars Color Imager extends the ∼5 Mars years record of Mars Global Surveyor global, visible-wavelength multi-color observations of meteorological events and adds measurements at three additional visible and two ultraviolet wavelengths.
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Vertical profiles of Mars 1.27 μm O 2 dayglow from MRO CRISM limb Spectra: Seasonal/global behaviors, comparisons to LMDGCM simulations, and a global definition for Mars water vapor profiles

TL;DR: Navarro et al. as discussed by the authors compared the LMDGCM-CRISM differences in water vapor profiles and showed that the difference likely reflects limitations in simulating cloud microphysics and radiative forcing, which restrict meridional transport of water from summer-to-winter hemispheres on Mars.
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Mass balance of Mars’ residual south polar cap from CTX images and other data

TL;DR: In this article, the authors used 6m/pixel Context Imager (CTX) data from Mars year 31 to map all the morphologic units of the RSPC, expand the measurement record of pit erosion rates, and use high resolution images to place limits on vertical changes in the surface of the residual cap.