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Educational Microclimate Mesonet System Design

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Abstract

Through the collaborative efforts of Columbus State University (CSU), Oxbow Meadows Environmental Learning Center, and Columbus Water Works, the CSU Weather Station was constructed in Fall 2018. This paper presents an overview of the construction efforts, instruments, real-time network, and database used on the tower as well as the collaborations that allowed for the development of the website. A statistical summary of the validation efforts and highlights of interesting weather events are also presented. The CSU Mesonet includes Tower station, Data server, Database, and Web server. In this paper, we focus on not only how the data is collected, delivered from the tower to the data server, as well as from data server to the database server, but also how the weather data is browsed via the web server and database server.

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References

  1. Tyndall, D.P., Horel, J.D.: Impacts of Mesonet observations on meteorological surface analyses, 27 February 2013. https://journals.ametsoc.org/doi/full/10.1175/WAF-D-12-00027.1. Accessed 6 Oct 2019

  2. Oklahoma Climatological Survey: What is the Oklahoma Mesonet? (1997) https://www.mesonet.org/files/materials/mesonet.pdf. Accessed 3 Oct 2018

  3. Mesonet: About the Mesonet. https://www.mesonet.org/index.php/site/about. Accessed 3 Oct 2019

  4. Mombrea, M.: How to fetch a file from FTP and import into SQL server automatically, 18 November 2014. Retrieved from https://www.itworld.com/article/2847292/how-to-fetch-a-file-from-ftp-and-import-into-sql-server-automatically.html

  5. Campbell Scientific: RF451 900 MHz 1 W Spread-Spectrum Radio (2019). https://www.campbellsci.com/rf451. Accessed 6 Oct 2018

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Correspondence to Jianhua Yang .

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Robertson, J., Yang, J., Scott Gunter, W., Keres, P., Wingate, T., Obando, A. (2020). Educational Microclimate Mesonet System Design. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_3

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