Student Research Reports
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Identifying Clouds at Night Using HD Technology and NOAA Satellites
Organization(s):Crestwood High School
Country:United States of America
Student(s):Youssef Hamood, Malik Mashlab, Ali Mzannar, Ali Slim
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Teacher:Diana Rae Johns
Contributors:
Report Type(s):International Virtual Science Symposium Report
Protocols:Air Temperature, Barometric Pressure, Relative Humidity, Wind
Presentation Poster:
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Optional Badges:I am a Collaborator, I am a Data Scientist, I make an Impact
Language(s):English
Date Submitted:03/06/2024
This research project aims to investigate the comparability of cloud observations acquired from the Weather Network HD Weather Camera and NOAA Satellite images taken specifically during nighttime conditions. Cloud-related parameters including type, opacity, and coverage were recorded using both the Weather Bug Network Weather Camera and the NOAA Satellite. The study site was at Crestwood High School in Dearborn Heights, in Southeastern Michigan. Observations were systematically conducted twice daily, at 8:00 UTC and 11:00 UTC for 6 days, to capture variations over time. By analyzing cloud data collected from both sources, our objective is to evaluate the consistency and reliability of the observations, thereby showcasing the potential strengths and limitations of utilizing the Weather Network HD Weather Camera for nighttime cloud observations in comparison to satellite-derived data. This comparative analysis holds significant implications for research projects conducted at night by schools. The outcomes of this research will not only contribute to advancing our understanding of nighttime cloud observation from the Earth’s surface but also aid in refining weather prediction models and enhancing our capability to monitor and comprehend atmospheric data.