Lewis Gramer

Headshot photo of Lewis (Lew) Gramer. Photo Credit: NOAA/AOML

Research Interests

Physical oceanographic processes affecting tropical cyclone intensity. 

Applications of novel artificial intelligence and statistical techniques to geophysical data analysis.

Lewis (Lew) Gramer, Ph.D.

Associate Scientist (University of Miami/CIMAS), Hurricane Research Division

305.361.4554

4301 Rickenbacker Causeway
Miami, Florida 33149

Dr. Lewis (Lew) Gramer is an associate scientist at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML). His research involves a range of topics related to how ocean dynamics impact the rest of the natural world. In his current research, Dr. Gramer aims to better understand the interaction of coastal ocean downwelling and vertical ocean mixing with hurricane intensity and storm structure.

Current Work

Impacts of coastal ocean downwelling and vertical ocean mixing on hurricane intensity and storm structure.

Hurricane forecast model transitions to operations.

Download Full CV

2013, Ph.D. Physical Oceanography, University of Miami – Rosenstiel School of Marine and Atmospheric Science, Miami, FL

1990, S.B. Mathematics, Massachusetts Institute of Technology, Cambridge, MA

  1. Gramer, L.J., M. Soden, and J.C. Hendee. Operational ecoforecasting for coral reefs using artificial intelligence and integrated near real-time environmental data. Bulletin of Marine Science, 99(3):379-394, https://doi.org/10.5343/bms.2022.0012 2023
    Ref. 4269
  2. Hazelton, A., G.J. Alaka, Jr., L. Gramer, W. Ramstrom, S. Ditchek, X. Chen, B. Liu, Z. Zhang, L. Zhu, W. Wang, B. Thomas, J.H. Shin, C.-K. Wang, H.-S. Kim, X. Zhang, A. Mehra, F. Marks, and S. Gopalakrishnan. 2022 real-time hurricane forecasts from an experimental version of the Hurricane Analysis and Forecast System (HAFSV0.3S) Frontiers in Earth Science, 11:1264969, https://doi.org/10.3389/feart.2023.1264969 2023
    Ref. 4331
  3. Poyer, A., W. Komaromi, S. Gopalakrishnan, L. Wolf, F. Marks, G. Alaka Jr., J. Anderson, V. Tallapragada, M. Brennan, A. Mehra, X. Zhang, Z. Zhang, A. Hazelton, D.A. Zelinsky, J.L. Franklin, A. Aksoy, C. Alexander, M. Bender, L. Bernardet, M. Biswas, J. Cangialosi, M. DeMaria, R. Dunlap, M. Ek, G. Eosco, L. Gramer, L. Harris, J.S. Hilderbrand, E. Kalina, H.-S. Kim, P. Kucera, B. Liu, P. McCaslin, T. Marchok, J. Moskaitis, K. Musgrave, L. Nance, K. Newman, M. Onderlinde, W. Ramstrom, D. Rosen, J. Sims, J. Sippel, D. Stern, R. Torn, X. Wang, W. Wang, Y. Weng, B.C. Zachry, C. Zhang, M. Zhang, and L. Zhu. 2021-2022 HFIP R&D activities summary: Recent results and operational implementation. HFIP Technical Report, HFIP-2023-1, 73 pp., https://doi.org/10.25923/exgj-1n68 2023
    Ref. 4413