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Predicting the height and behavior of the planetary boundary layer in the western region of Puerto Rico using a neural network system

Author Jaime Alejandro Álvarez .
Faculty Mentors Héctor Jiménez

The planetary boundary layer (PBL) is a region of the atmosphere that is directly influenced by the Earth’s surface. The PBL height is important for a variety of atmospheric processes, including cloud formation, precipitation, and air quality. This study aims to determine the height and characteristic behavior of the PBL in western Puerto Rico. To do this, we will analyze data from the MP3000a radiometer located at the University of Puerto Rico, Mayagüez. This data will be used to determine and analyze variables such as the dew point, virtual potential temperature, and others. We will then develop an algorithm to calculate the PBL height as a function of time. This algorithm will be based on the stability of meteorological variables, and will use a neural network to make predictions. The results of this study will be made available to the meteorological community in real time through the website of the Puerto Rico Climate Office.

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