Bulletin of the American Physical Society
New England Section Fall 2023 Meeting
Friday–Saturday, October 20–21, 2023; University of Rhode Island, Kingston, Rhode Island
Session H01: Poster Session
9:40 AM,
Saturday, October 21, 2023
University of Rhode Island
Room: Engineering Fascitelli Center Hallway
Abstract: H01.00008 : Comparative Analysis of CCD Camera Lidar Signal and Noise in Wildfire and Non-Fire Events for Wider Scattering Applications in Particulate Dense Atmospheric Conditions
Presenter:
Meg Farinsky
(Central Connecticut State University)
Authors:
Meg Farinsky
(Central Connecticut State University)
Gabriel E Garcia
(Central Connecticut State University)
Marcus Alcantara-Silva
(Central Connecticut State University)
Isabel Sharma
(Central Connecticut State University)
Nimmi Sharma
(Central Connecticut State University)
detection of laser light scattering by suspended particulates in the atmosphere in both typical
urban atmospheric conditions and during a heavily polluted atmospheric wildfire event. Signal
and noise effects are quantified to assess instrument capabilities for investigating atmospheric
phenomena under particulate dense atmospheric conditions. The signal to noise ratio is an
important statistic for all instrument detection systems, and noise is a consistent challenge in
lidar measurement of atmospheric aerosols (suspended particulates). This study represents an
important step in demonstrating the capabilities of a rugged and inexpensive bistatic lidar system
for field studies of atmospheric phenomena such as forest fires. Traditional lidar systems
typically employ a monostatic configuration with expensive detection systems that may be
fragile and require housings for temperature stabilization, etc. The CLidar system offers a robust,
field-ready design requiring no housings and employing an inexpensive astronomical CCD
camera as its detector, making it a good candidate for field studies of pollution events such as
wildfires. In this study we assess the instrument signal and noise parameters for CLidar
atmospheric image data taken in an urban setting with the camera detector 50-60 meters from the
laser transmitter on a clear night with data taken during the Canadian Wildfire smoke events of
June 2023. Results show the CLidar can be an effective tool to study both light aerosol loading
and dense particulate scattering events.
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