Prediction of Temperature changes over the Newark Area
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Christopher Jacinto
CoPIs:
Rafael Toledo, Edwin Ciriaco
College:
The Dorothy and George Hennings College of Science, Mathematics, and Technology
Major:
Computer Science
Faculty Research Advisor(s):
Ching-yu Huang
Abstract:
Global warming is a growing issue that seems to be talked about more and more every year. This research project attempts to study previously archived data to make a prediction on the
expected weather for the future. The datasets come from NOAA’s weather forecast archive and overall include several pieces of information spanning from air temperature, and humidity
reports to wind speeds and are updated every few hours. However, the attributes from the datasets that are going to be used involve minimum, maximum, and average daily temperatures
along with an attribute that focuses on the precipitation (i.e. whether it rained, snowed, etc) in the Newark, New Jersey area. All of this data will range from 2000-2010 and will be used as a
reference to predict the weather from 2010-2020. In total all the datasets will have over 5,000 records, displaying data spanning over the course of 20 total years. A Chi-square test will also
be used to compare the predicted data to the actual observed data from 2010-2020, and then be used to determine the accuracy of the observed results to the hypothesis made from the
2000-2010 data. The results of the cleaned datasets, and the predicted data will also be compared through visual graphs for clearer understanding alongside the Chi-square test.