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Activity Number: 121 - SPEED: Data Expo
Type: Contributed
Date/Time: Monday, July 30, 2018 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract #329369 Presentation
Title: An Analysis on the Accuracy of Weather Forecasts
Author(s): Benjamin William Schweitzer* and Nichole Rook and Ryan Estep and Robert Garrett and Thomas Fisher
Companies: Miami University and Miami University and Miami University and Miami University and Miami University
Keywords: Weather Data; Forecast Accuracy; Data Visualization; Machine Learning
Abstract:

One of the most popular usages of predictive modeling is in weather forecasting; a concept familiar to all regardless of statistical background. The forecasts and observed weather for 113 sites across America (2014 - 2017) are utilized. Along with supplementary data acquired from the National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center, we create visual displays to analyze the prediction accuracy. Machine learning techniques are used to extend the provided forecast to sites all across the continental United States. Our results allow for an in-depth exploration into the accuracy of weather forecast across the nation.


Authors who are presenting talks have a * after their name.

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