# 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.

## Key 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.

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Source: https://tomesphere.com/paper/1812.02634