Improving Weather Prediction Technologies: Establishing a Relationship between Air Pollution and Weather Phenomena

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Authors

Raghav Sriram 

Abstract

The primary focus of this research is to establish a link between air quality, weather patterns, and climate dynamics. Employing a correlative methodology, the study aims to investigate the association between air pollution levels and the occurrence frequency of acid rain events. To accomplish this, extensive quantitative meteorological data gathered from weather stations situated in the Midwestern United States over a span of five years will be analyzed. The ultimate objective of this research paper is to underscore the significance of incorporating air particulate matter considerations in weather forecasting and prediction models, highlighting its potential implications for making atmospheric and weather assessments.

DOI

https://doi.org/10.31223/X5ZT1R

Subjects

Chemistry, Oceanography and Atmospheric Sciences and Meteorology

Keywords

acid rain, acid deposition, weather prediction, air pollution, machine learning

Dates

Published: 2023-08-11 02:58

Last Updated: 2023-08-11 09:58

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc%3AC00532/html