Air quality &
the variables behind it.
My work examines how particulate matter concentrations respond to meteorological and climatic conditions across the seasons. Publications, research themes and methods are listed below.
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Publications
2022 –
Publishing since
ORCID iD ↗
0000-0002-3418-5766
Google Scholar ↗
Citations & profile
Core research areas
PM2.5 Prediction
Developing machine learning models that predict regional air quality variations at daily, weekly, monthly, seasonal and annual scales.
Learn more →Meteorological Dynamics
Understanding the meteorological mechanisms at play under varied environmental conditions, and the consequent shifts in particulate matter concentrations.
Learn more →Wet Scavenging
Quantifying how precipitation events remove particulate matter from the atmosphere, and what rainfall intensity and duration mean for post-monsoon air quality.
Learn more →Tools & methods
HYSPLIT
CWT modeling
AERMOD
CALINE4
Machine learning
PM2.5 monitoring
Meteorological analysis
Publications
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