Presentation + Paper
10 July 2018 A bottom-up and top-down approach to cloud detection
Author Affiliations +
Abstract
Weather monitoring has always been an element of observatory operations. For a robotic telescope there is the added complication that software needs to understand the ever changing atmospheric observing conditions in order to respond in real time, continuously balancing the schedule for both facility calibrations (i.e., standard stars) and targeted observations according to the TAC-assigned science priorities. For the Liverpool Telescope, in the past year we have been testing a new multi-threaded approach. We have long operated a single-element, integrated-all-sky, 10 m bolometer on site. To this we have added real-time photometric monitoring of field stars around the science target and analysis of publicly accessible weather satellite images. This gives us three estimates of any night's photometricity; two ground-based looking up through the cloud (optical and thermal IR) and one satellite-based looking down at the observatory. We present a comparison of the results from the different methods and share our experiences selecting between the complementary data sets to support real-time observing decisions.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert J. Smith, Marco C. Lam, Jonathan M. Marchant, and Iain A. Steele "A bottom-up and top-down approach to cloud detection", Proc. SPIE 10704, Observatory Operations: Strategies, Processes, and Systems VII, 1070426 (10 July 2018); https://doi.org/10.1117/12.2312734
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KEYWORDS
Clouds

Satellites

Telescopes

Satellite imaging

Earth observing sensors

Sensors

Photometry

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