01Machine learning & clouds
Predicting the particles that seed clouds
Recovering aerosol size and cloud-forming potential from available measurements, with explicit tests of reliability under changing conditions.
Explore this researchArshad Arjunan Nair · Atmospheric scientist
Physics, data,
and the atmosphere.
I study how atmospheric processes shape clouds, climate, air quality, and human exposure. My work brings physical modeling and observations together with machine learning to understand these connections across scales.
Atmospheric physics · Climate · Machine learning · Environmental healthnairarshad@gmail.com
Research program
How the atmosphere shapes climate and health.
02Chemistry & microphysics
The chemistry that controls particle number
Tracing how ammonia, particle formation, growth, and loss determine the response of aerosol populations to changing emissions.
Explore this research03Exposure & health
Seeing exposure beyond particle mass
Comparing particle-number and particle-mass exposures to understand spatial patterns, disparities, and uncertainty.
Explore this research04Climate & intervention assessment
Particles in a changing climate
Connecting aerosol microphysics, climate modeling, and air-quality questions to evaluate proposed interventions and their uncertainties.
Explore this researchResearch approach
Physical questions. Models. Observations.
I combine atmospheric chemistry and aerosol microphysics with satellite and in-situ observations, scientific computing, and interpretable machine learning. These methods connect mechanisms at the particle scale to climate and environmental exposure.
Selected publications
Selected contributions.
Teaching & mentoring
Connecting physical reasoning with data.
My teaching and mentoring connect atmospheric processes to observations, computational methods, and the evidence needed to evaluate a model.