Project Info

Understanding the sources of Carbon Monoxide

Dorit Hammerling | hammerling@mines.edu 

Carbon Monoxide is a major air pollutant. It comes from different sources and can partially be explained through natural variabilities in climate modes, but human factors such a biomass burning also play a substantial role. We will apply cutting-edge statistical and machine learning methods to gain further insights into these questions using satellite and numerical model data. Students will get to work within an experienced team of world class experts and gain experience working with large data on a super computer while learning modern statistical and machine learning methods.

Elucidate the interdisciplinary nature of the project

The project is a collaboration between atmospheric scientists, in particular, experts in atmospheric chemistry, and statisticians/data scientists. The two external collaborators are from the National Center of Atmospheric Research, one a junior scientist, the other a senior scientist, who is also the Science Principal Investigator for the MOPITT NASA satellite mission, which is the data we will use. A post-doc will also be involved and interact with the students.

More Information

This is a manuscript describing the work this research will built on: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018JD028438

This is a tech note that a Mines graduate student wrote who developed code for this project: https://opensky.ucar.edu/islandora/object/technotes%3A564

Grand Engineering Challenge: Not applicable