TIME SERIES INSIGHTS INTO BANGKOK’S DAILY TEMPERATURE VARIABILITY

Authors

  • Siriporn Natthida Wong Demonstration School of Nakhon Pathom Rajabhat University, Thailand
  • Warunee Aranya Phetcharat Demonstration School of Nakhon Pathom Rajabhat University, Thailand
  • Anan Chatchai Srisuk Department of Computational Science and Digital Technology, Kasetsart University, Thailand

Keywords:

temperature forecasting, climate change, Bangkok, statistical models, time series analysis.

Abstract

In the face of rapidly changing global climate patterns attributed to various human activities and the increasing concentrations of greenhouse gases, accurate temperature forecasting has become a vital aspect of climate research. This study focuses on Bangkok, the bustling capital and economic hub of Thailand, due to its significance in the nation's economic and cultural landscape. The research aims to develop reliable statistical models for predicting daily maximum and minimum temperatures in Bangkok, facilitating better preparation and response to meteorological phenomena. Temperature variations in this region are influenced by a multitude of factors, including sun exposure, ground conditions, ocean currents, geographical location, and cloud cover. By utilizing simple time series analysis, this study strives to provide valuable insights for urban planning and disaster prevention, ultimately helping residents mitigate potential losses or challenges stemming from changing climate conditions.

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Published

2024-05-01

How to Cite

Wong, S. N., Phetcharat, W. A., & Srisuk , A. C. (2024). TIME SERIES INSIGHTS INTO BANGKOK’S DAILY TEMPERATURE VARIABILITY . Ayden Journal of Intelligent System and Computing, 10(3), 19–24. Retrieved from https://aydenjournals.com/index.php/AJISC/article/view/510

Issue

Vol. 10 No. 3 (2022)

Section

Articles