My group develops computer simulations that describe how aerosol particles are created, transported, and transformed in the atmosphere. We use these simulations, together with observational and satellite data, to understand how aerosol particles impact human health, weather, and climate. This understanding guides us in developing effective pollution mitigation strategies and responses to global climate change.
Aerosol particles are microscopic particles suspended in the atmosphere. Some of them, for example dust, sea salt, or pollen, come from natural sources. Others are man-made, such as soot particles from diesel engines, or sulfate particles from coal-fired power plants. In a typical urban environment we inhale about 5 million particles with each breath, all of which vary greatly in size and chemical composition.
Aerosol particles impact our lives in many ways. Since they are so small, they can penetrate deep into our lungs and our bloodstream, causing respiratory and cardiac diseases. Aerosol particles have also dramatic impacts on weather and climate. For example, they block and absorb sunlight, changing the heating of the Earth, and they act as the seeds that produce water droplets in clouds.
I am always looking for new graduate students to join my group. Please contact me for questions about potential projects or about the application process at our department.
Additional Campus Affiliations
Professor, Civil and Environmental Engineering
Professor, National Center for Supercomputing Applications (NCSA)
Zheng, Z., Curtis, J. H., Yao, Y., Gasparik, J. T., Anantharaj, V. G., Zhao, L., West, M., & Riemer, N. (2021). Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling. Earth and Space Science, 8(2), [e2020EA001500]. https://doi.org/10.1029/2020EA001500
Gasparik, J. T., Ye, Q., Curtis, J. H., Presto, A. A., Donahue, N. M., Sullivan, R. C., West, M., & Riemer, N. (2020). Quantifying errors in the aerosol mixing-state index based on limited particle sample size. Aerosol Science and Technology, 54(12), 1527-1541. https://doi.org/10.1080/02786826.2020.1804523
Pye, H. O. T., Nenes, A., Alexander, B., Ault, A. P., Barth, M. C., Clegg, S. L., Collett, J. L., Fahey, K. M., Hennigan, C. J., Herrmann, H., Kanakidou, M., Kelly, J. T., Ku, I. T., Faye McNeill, V., Riemer, N., Schaefer, T., Shi, G., Tilgner, A., Walker, J. T., ... Zuend, A. (2020). The acidity of atmospheric particles and clouds. Atmospheric Chemistry and Physics, 20(8), 4809-4888. https://doi.org/10.5194/acp-20-4809-2020
Deville, L., Riemer, N., & West, M. (2019). Convergence of a generalized weighted flow algorithm for stochastic particle coagulation. Journal of Computational Dynamics, 6(1), 69-94. https://doi.org/10.3934/jcd.2019003
Malfatti, F., Lee, C., Tinta, T., Pendergraft, M. A., Celussi, M., Zhou, Y., Sultana, C. M., Rotter, A., Axson, J. L., Collins, D. B., Santander, M. V., Anides Morales, A. L., Aluwihare, L. I., Riemer, N., Grassian, V. H., Azam, F., & Prather, K. A. (2019). Detection of Active Microbial Enzymes in Nascent Sea Spray Aerosol: Implications for Atmospheric Chemistry and Climate. Environmental Science and Technology Letters, 6(3), 171-177. https://doi.org/10.1021/acs.estlett.8b00699