Dr. Brodie is the Director of Atmospheric Research with the Rutgers Center for Ocean Observing Leadership. He holds a B.S. in Meteorology from Rutgers, and a Ph.D. in Physical Ocean Science and Engineering from the University of Delaware. His research is primarily focused on using modeling tools to study climate change and working with these tools to further society’s use of renewable energy technologies to reduce its climatic influence. He uses a variety of observations (i.e. lidar, sodar, in situ meteorological buoys and masts) to study our dynamic coastal environment, with the goal of using these observations to improve the modeling of our region, in particular to better understand the benefits and impacts of the development of offshore wind energy.
M. Optis, A. Kumler, J. F. Brodie, and T. Miles. 2021. Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling approach. Wind Energy.
H. Roarty, S. Glenn, J. Brodie, L. Nazzaro, M. Smith, E. Handel, J. Kohut, T. Updyke, L. Atkinson, W. Boicourt, W. Brown, H. Seim, M. Muglia, H. Wang, and D. Gong. 2020. Annual and seasonal surface circulation over the Mid Atlantic Bight continental shelf derived from a decade of high frequency radar observations. Journal of Geophysical Research: Oceans.
M. Yousefvand, C. T. Wu, R. Q. Wang, J. F. Brodie, and N. Mandayam. 2020. Modeling the impact of 5G leakage on weather prediction. In 2020 IEEE 3rd 5G World Forum (5GWF), pages 291–296, Bangalore, India.
C. L. Archer, S. Wu, A. Vasel-be hagh, J. F. Brodie, R. Delgado, A. St. Pé, S. Oncley, and S. Semmer. 2019. The VERTEX field campaign : observations of near-ground effects of wind turbine wakes. Journal of Turbulence.