BIO

I am a junior pursuing a bachelor's degree in computer science at Florida State University. In spring of 2023, I played a role as a researcher and solutions architect in developing our university's pioneering pilot program, focusing on enhancing hybrid and virtual learning. Since September, I have served as a learning assistant for introductory programming courses. Additionally, I am participating in Florida State's Undergraduate Research Opportunity Program. My research project focuses on data visualization of extreme heat in 2023 USA using cutting-edge statistical techniques. I am working under the guidance of Dr. Eunsaem Cho on this project titled "Visualization of Extreme Heat in 2023 USA: A Data-Driven Approach Using Cutting-edge Statistical Technique.”

Visualization of Extreme Heat in 2023 USA: A Data-Driven Approach Using Cutting-edge Statistical Technique

Abstract

This study is an in-depth data analysis of extreme heat patterns in Dallas, Houston, and San Antonio, Texas, over a 30-year period from 1993 to 2023. Results were obtained through annual maximum air temperature, exceedance probabilities and return periods calculated by fitting generalized extreme value distributions. Maximum likelihood estimation was utilized for parameter estimation, and the Kolmogorov-Smirnov test was conducted to confirm goodness-of-fit. In 2023, Dallas experienced a record temperature of 110.1°F, estimated to have a return period of 32 years. Houston reached a record 108.3°F with a 17-year return period, while San Antonio's annual maximum was 109.9°F, with a return period of 6 years. These findings indicate a significant variation in the extremeness of heat events across these cities. This variability highlights the need for city-specific adaptation and mitigation strategies to address the unique challenges posed by escalating temperatures in different urban environments.

Keywords: Extreme Heat, Data Science