Megan Bela

separated

Regional Chemical Modeling

Affiliation

CIRES

Modeling Earth systems to improve human and ecosystem well-being is my focus and passion.

With extensive experience in atmospheric and hydrologic modeling and data analysis, I am an expert in improving understanding of and model accuracy in representing and predicting the interactions of fires, clouds, plants, and humans on air quality, weather, and climate. More accurate models can be used for example to predict and quantify the potential benefits of pollution reduction or land use strategies.

My broad-ranging research and applications experience and interests include fire emissions, smoke transport and chemistry modeling, biogenic-anthropogenic interactions, air quality forecasting, cloud chemistry, and applications of machine learning in environmental sciences.

Education

PhD, Atmospheric and Oceanic Sciences, University of Colorado Boulder
MS, Environmental Fluid Mechanics and Hydrology, Stanford University
BS, Environmental Engineering, Stanford University

last modified: November 27, 2022