Melissa Gervais

Melissa Gervais

  • Assistant Professor of Meteorology and Atmospheric Science
  • Faculty fellow of the Institute for Computational and Data Sciences (ICDS)
  • Adjunct Associate Research Scientist Lamont Doherty Earth Institute (LDEO)
523 Walker Building
University Park, PA 16802
Email: mmg62@psu.edu
Phone: (814) 863-3920

Websites:

Education:

  1. Ph.D. Atmospheric and Oceanic Sciences, McGill University
  2. M.S. Physics, The University of Toronto
  3. B.S. Physics, The University of Toronto

Research Specialties:

Atmospheric Dynamics:
Climate:
Oceanography:
Statistical Meteorology:
Weather Risk:

Biography:

Research Interests

My broad research interests lie in climate dynamics. I have a particular interest in how changes in surface forcing by the oceans and sea ice might influence atmospheric circulation. The central motivation for my work lies in understanding how climate change is manifested as changes in daily sensible weather that impact society.

Publications

Gervais, M., J. Shaman, and Y. Kushnir (2020): Impact of the North Atlantic Warming Hole on Sensible Weather.  Journal of Climate, 33, 4255-4271, doi:10.1175/JCLI-D-19-0636.1

Gervais, M., Shaman, J., & Kushnir, Y. (2019). Impacts of the North Atlantic warming hole in future climate projections: Mean atmospheric circulation and the North Atlantic jet. Journal of Climate, 32 (10), 2673-2689. doi: 10.1175/JCLI-D-18-0647.1.

Gervais, M., Shaman, J., Kushnir, Y., Gervais, M., Shaman, J., & Kushnir, Y. (2018). Mechanisms Governing the Development of the North Atlantic Warming Hole in the CESM-LE Future Climate Simulations. Journal of Climate, 31, 5927–5946, doi: 10.1175/JCLI-D-17-0635.1. 
 

Gervais, M., E. Atallah, J. R. Gyakum, and L.-B. Tremblay (2016): Arctic Air Masses in a Warming World. J. Climate, doi: 10.1175/JCLI-D-15-0499.1.

Gervais, M., L.-B. Tremblay, J. R. Gyakum, and E. Atallah (2014): Representing extremes in a daily gridded precipitation analysis over the United States: impacts of station density, resolution, and gridding methods. J. Climate, 27, 5201-5218, doi: 10.1175/JCLI-D-13-00319.1.

Gervais, M., J. R. Gyakum, E. Atallah, and L.-B. Tremblay, R. B. Neale (2014): How well are the distribution and extreme values of daily precipitation over North America represented in the Community Climate System Model? A comparison to reanalysis, satellite, and gridded station data. J. Climate, 27, 5219-5239, doi: 10.1175/JCLI-D-13-00320.1.