EAPS news: Harbor honored and new faculty announced



Prof. Jon Harbor

Dr. Jonathan Harbor, Purdue professor of Earth, Atmospheric, and Planetary Sciences, was selected as a 2015 honorary doctor for Stockholm University in the category of Natural Science. Harbor and his seven fellow honorees were chosen because they “contributed in distinctive ways to the University's activities in research and education.”

Harbor is a leading researcher in physical geography and an innovator in education and academic leadership. His collaborations with Stockholm University have produced joint publications, combined graduate and post-doctoral student mentoring, and joint field and online teaching.  As a Marie-Curie Fellow, he helped invigorate Stockholm University alumni relations programs and launched a pilot program connecting PhD students with local teachers and children.


The Department of Earth, Atmpospheric, and Planetary Sciences announced three new faculty members will be starting in the fall semester in the Atmospheric Science area. They are:

  • Dr. Daniel Chavas is a National Science Foundation postdoctoral research fellow working on tropical cyclone physics and risk analysis with Prof. Ning Lin in the Department of Civil and Environmental Engineering at Princeton University. His research seeks a deeper understanding of observed tropical cyclone size and structure and its incorporation into risk analysis methodologies.
  • Dr. Robin Tanamachi is a research meteorologist specializing in analysis and assimilation of radar data collected in severe storms and tornadoes. She works for the Cooperative Institute for Mesoscale Meteorological Studies in Oklahoma City.
  • Dr. Daniel Dawson is a research meteorologist with expertise in numerical simulation, prediction, and analysis of severe thunderstorms and tornadoes. He specializes in the detailed simulation of clouds and precipitation and their connections to the overall behavior of these storms. One of his main research goals is to understand these systems to the point where we can reliably predict tornadoes in a probabilistic sense in the one- to two-hour timeframe.

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