The Gordon Group

Professor Gordon’s research group is interested in how atmospheric particulate matter influences weather and climate, both directly and by interacting with clouds. Particles in the atmosphere may come from natural or anthropogenic (air pollution) sources. Every cloud droplet in our atmosphere formed around a particle, and so polluted clouds have more droplets in them. Clouds with more droplets are brighter so reflect more light back to the Sun. Therefore atmospheric particles generally cool the climate. However, some particles, usually those that are mainly soot, can absorb solar radiation and heat clouds up, causing them to evaporate, and this leads to a warming effect because clouds are more reflective than Earth’s surface below them. Particles in the atmosphere also lead to reduced visibility, either as haze or by influencing the properties of fog. It is therefore important for aviation weather forecasts to account for particle concentrations. Finally, particles can also affect precipitation in clouds containing ice, leading to further complicated weather and climate effects. To understand atmospheric particles and their effects, we run simulations with the UK Met Office “Unified Model,” which is used for both weather forecasting and climate prediction. Our research requires adding new code to the model to better represent both particles and clouds.

Faculty

Hamish Gordon

Hamish Gordon

Assistant Research Professor, Engineering Research Accelerator

Courtesy Appointment, Chemical Engineering

Hamish Gordon is an assistant research professor with the Engineering Research Accelerator and the Center for Atmospheric Particle Studies. His research interests are focused on the effects of air pollution and natural airborne particles on clouds and climate. He received his first degree from the University of Cambridge in 2009, and his doctorate from the University of Oxford in experimental high energy physics in 2013. He moved to Carnegie Mellon from a postdoc position at the University of Leeds in 2019.

Office
3101A Doherty Hall
Email
gordon@cmu.edu
Google Scholar
Hamish Gordon

Projects

 

 

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Research team

Aditya Biyani

Aditya Biyani

Masters

Research interests
Atmospheric engineering, machine learning, data science and analytics, process systems modeling, reactive system engineering, sustainable energy development
Email
abiyani@andrew.cmu.edu
Yash Gokhale

Yash Gokhale

Masters

Research interests
Process modeling, data analysis, machine learning, air pollution
Email
ysg@andrew.cmu.edu
Hanyu Liu

Hanyu Liu

Masters

Research interests
Developing a machine learning method algorithm to predict visibility based on meteorological and air pollution data
Email
hanyuliu@andrew.cmu.edu

Publications

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