Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks

TL;DR

This study investigates the relationship between man-made carbon emissions, surface temperature anomalies, and wind speed anomalies using a network-based approach with daily global data from 1950 to 2010.

Contribution

It introduces a novel network methodology to analyze the correlations between carbon emissions and climate anomalies across different regions over time.

Findings

Identifies significant correlations between emissions and temperature anomalies.

Reveals regional patterns linking wind anomalies to carbon emissions.

Provides a framework for future climate anomaly network analysis.

Abstract

This project aims to shed light on how man-made carbon emissions are affecting global wind patterns by looking for temporal and geographical correlations between carbon emissions, surface temperatures anomalies, and wind speed anomalies at high altitude. We use a networks-based approach and daily data from 1950 to 2010 [1-3] to model and draw correlations between disparate regions of the globe.