A century-long analysis of global warming and earth temperature using a random walk with drift approach

Leon Wang, Leigh Wang, Yang Li, John Wang

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Climate change poses the most significant threat to humanity today. This study examines the global warming trend by analyzing temperature changes over the past century, uncovering alarming results. Various models, including the Random Walk with Drift approach with R programming language, have been used to compare different time horizons and scenarios. This research demonstrates the importance of utilizing advanced analytical techniques to better understand climate change's impact. The findings underscore the urgency of implementing effective climate policies to mitigate the effects of global warming and safeguard our planet's future.

Original languageEnglish
Article number100237
JournalDecision Analytics Journal
Volume7
DOIs
StatePublished - Jun 2023

Keywords

  • Autoregression
  • Global warming
  • Moving average
  • R programming
  • Random walk with drift
  • Trend analysis

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