Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks
Other Computer Science
2018-12-09 v1
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.
Keywords
Cite
@article{arxiv.1812.02634,
title = {Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks},
author = {Anshul Goyal and Kartikeya Bhardwaj and Radu Marculescu},
journal= {arXiv preprint arXiv:1812.02634},
year = {2018}
}
Comments
This is a class project report for CMU course 18-755 in Fall 2016. 7 pages, 19 figures