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

doi:10.1016/j.dajour.2023.100237

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

Information Management and Business Analytics

Research output: Contribution to journal › Article › peer-review

37 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 language	English
Article number	100237
Journal	Decision Analytics Journal
Volume	7
DOIs	https://doi.org/10.1016/j.dajour.2023.100237
State	Published - Jun 2023

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.dajour.2023.100237

Cite this

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

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.",

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AU - Li, Yang

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AB - 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.

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KW - Global warming

KW - Moving average

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KW - Random walk with drift

KW - Trend analysis

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

Abstract

Keywords

UN SDGs

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