Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks
classification
💻 cs.OH
keywords
anomaliescarbonemissionscorrelationswindaffectingaimsaltitude
read the original 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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.