Browsing by Author "Geach, Christopher P"

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    PMC Turbo image and lidar data taken in July 2018, supplement to Geach et al. (2020) "Gravity Wave and Vortex Ring Formation Observed by PMC Turbo"
    (2020-05-01) Geach, Christopher P; Hanany, S; Fritts, D C; Kaifler, B; Kaifler, N; Kjellstrand, C B; Williams, B P; Eckermann, S D; Miller, A D; Jones, G; Reimuller, J; geachman@gmail.com; Geach, Christopher P; University of Minnesota School of Physics and Astronomy; Hanany - Observational Cosmology Lab
    These datasets are published in accordance with AGU requirements for journal submission.
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    Supplementary data for "The PMC Turbo balloon mission to measure gravity waves and turbulence in Polar Mesospheric Clouds: Camera, telemetry, and software performance"
    (2020-06-17) Kjellstrand, Carl B; Jones, Glenn; Geach, Christopher P; Williams, Bifford P; Fritts, David C; Miller, Amber D; Hanany, Shaul; Limon, Michele; Reimuller, Jason; geach003@umn.edu; Geach, Christopher P; School of Physics and Astronomy, Hanany - Observational Cosmology Lab
    The Polar Mesospheric Cloud Turbulence (PMC Turbo) instrument consists of a balloon-borne platform which hosts seven cameras and a Rayleigh lidar. During a six-day flight in July 2018, the cameras captured images of Polar Mesospheric Clouds (PMCs) with a sensitivity to spatial scales from ~20 m to 100 km at a ~2-s cadence and a full field of view (FOV) of hundreds of kilometers. We developed software optimized for imaging of PMCs, controlling multiple independent cameras, compressing and storing images, and for choosing telemetry communication channels. We give an overview of the PMC Turbo design focusing on the flight software and telemetry functions. We describe the performance of the system during its first flight in July 2018. The images uploaded here support the paper in demonstrating the performance of the PMC Turbo instrument.