I’m Jordan Schnell, a postdoctoral fellow at Northwestern University’s Department of Earth and Planetary Sciences and the Ubben Program for Climate and Carbon Science. I grew up in a small town in southern Indiana and attended Indiana University where I received degrees in Mathematics and Environmental Science. I received my Ph.D. from the University of California, Irvine in the Department of Earth System Science.
My research broadly focuses on chemistry–climate interactions, with specific emphasis on extreme events such as air pollution episodes and heat waves. I use surface measurements of pollution (ozone and particulate matter) alongside chemistry–climate models (CCMs) and chemical transport models (CTMs) to understand the meteorological and chemical controls on the formation and multi-day persistence of pollution episodes. I am especially interested in understanding how natural (e.g., biogenic emissions of volatile organic compounds) and anthropogenic (e.g., increased energy demand) feedback processes contribute to pollution episodes and how they can best be represented in current models.
Schnell, J. L., and M. J. Prather (2017), Co-occurrence of extremes in surface ozone, particulate matter, and temperature over Eastern North America, Proc. Natl. Acad. Sci., 114 (11), doi:10.1073/pnas.1614453114.
Schnell, J. L., M. J. Prather, B. Josse, V. Naik, L. W. Horowitz, G. Zeng, D. T. Shindell, and G. Faluvegi (2016), Effect of climate change on surface ozone over North America, Europe, and East Asia, Geophys. Res. Lett., 43, 3509–3518, doi:10.1002/2016GL068060.
Schnell, J. L., M. J. Prather, B. Josse, V. Naik, L. W. Horowitz, P. Cameron-Smith, D. Bergmann, G. Zeng, D. A. Plummer, K. Sudo, T. Nagashima, D. T. Shindell, G. Faluvegi, and S. A. Strode (2015), Use of North American and European air quality networks to evaluate global chemistry-climate modeling of surface ozone, Atmos. Chem. Phys., 15(18), 10581-10596, doi: 10.5194/acp-15-10581-2015.
Schnell, J. L., C. D. Holmes, A. Jangam, and M. J. Prather (2014), Skill in forecasting extreme ozone pollution episodes with a global atmospheric chemistry model, Atmos. Chem. Phys., 14(15), 7721-7739, doi:10.5194/acp-14-7721-2014.