STORM SEEKER: “An open source meteorological data acquisition system for local hail storm prediction”
Student(s):Alejandro Sánchez Sofia Sabatini Camila Grilletti Nicolás Labrune Nicolás Bartolomeo Nahuel Galera Joaquín Oller Franco Vaccarezza Enzo Appes Rocco Querini Juliana Masuh Mariel Camus
Grade Level:Middle School (grades 6-8, ages 11-14)
GLOBE Teacher(s):Eleonora Paula Morelli
Contributors:Dr. Ruben Santos Dr. Lucas Iacono
Report Type(s):International Virtual Science Symposium Report
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In the geography classes of our school we carry out weather research activities, hence we detect an open issue: the unusually intense hailstorms that affect our city are not noticed with anticipation by the citizens, generating considerable damage. Our school is polytechnic hence we propose “the development of a system composed by open source software and hardware technologies for meteorological data acquisition. This system will use atmospheric data in order to emit hail storm alerts to the citizens of our city mitigating hail damages”.
In order to concrete our solution, we: (i)Take reliable weather variables in our school, (ii) Store and process data collected with open source technologies, (iii) Create an app that reports the atmospheric state of the school zone and the occurrence of hail storms, (iv) Disseminate the project and make the software as well as the hardware available to the community.
We create two work teams, one for the observation and collection of meteorological variables according GLOBE protocols and other one for developing data acquisition devices and different software tools. During 2018 we were able to carry out part of our task plan, currently we continue working on the creation and diffusion of the app.
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