I am a meteorologist and physical oceanographer with a primary interest in the modeling of the complex coastal environment. My research focuses 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. I use 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 for advancing offshore wind energy, along with other coastal stakeholders. These improved models can also be used to study and improve the prediction of other coastal and atmosphere/ocean processes, such as sea breezes and tropical storms.
After growing up in Monmouth County, NJ, I received my B.S. in Meteorology from Rutgers University in 2005. I then went to work for Continental Airlines as a flight attendant and international service manager for several years, before leaving the skies and returning to graduate school in 2011. I received my Ph.D. in Marine Studies with a concentration in Physical Ocean Science and Engineering from the University of Delaware in 2016. After a year of postdoctoral experience with UD, I joined the RUCOOL team in July 2017.
M. Optis, A. Kumler, J. F. Brodie, and T. Miles. Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling approach. Wind Energy, 2021. DOI: 10.1002/we.2611.
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. 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, 125(11), 2020. DOI: 10.1029/2020jc016368.
M. Yousefvand, C. T. Wu, R. Q. Wang, J. F. Brodie, and N. Mandayam. Modeling the impact of 5G leakage on weather prediction. In 2020 IEEE 3rd 5G World Forum (5GWF), pages 291–296, Bangalore, India, 2020. DOI: 10.1109/5GWF49715.2020.9221472.
C. L. Archer, S. Wu, A. Vasel-be hagh, J. F. Brodie, R. Delgado, A. St. Pé, S. Oncley, and S. Semmer. The VERTEX field campaign : observations of near-ground effects of wind turbine wakes. Journal of Turbulence, 2019. DOI: 10.1080/14685248.2019.1572161.
J. F. Brodie, C. L. Archer, and S. A. Rauscher. Ozone pollution in Delaware: How does climate change influence ozone-related health? Delaware Journal of Public Health, 3(6):6–11, October 2017.
Archer, C.L., A. Vasel-Be-Hagh, C. Yan, S. Wu, Y. Pan, J. F. Brodie, A. E. Maguire (2018). Review and evaluation of wake loss models for wind energy applications. Applied Energy, 226: 1187-1207. DOI: 10.1016/j.apenergy.2018.05.085
St. Pé, A., M. Sperling, J. F. Brodie, and R. Delgado (2018). Classifying rotor-layer wind to reduce offshore available power uncertainty. Wind Energy. DOI: 10.1002/we.2159
Veron, D. E., J. F. Brodie, Y. A. Shirazi, and J. R. Gilchrist (2018). Modeling the electrical grid impact of wind ramp-up forecasting error offshore in the Mid-Atlantic region. Journal of Renewable and Sustainable Energy, 10(1):013308. DOI: 10.1063/1.4990684
L. Noel, J. F. Brodie, W. Kempton, C. L. Archer, and C. Budischak. Cost minimization of generation, storage, and new loads, comparing costs with and without externalities. Applied Energy, 189: 110–121, 2017. DOI: 10.1016/j.apenergy.2016.12.060.