William Ramstrom

Headshot photo of William (Bill) Ramstrom. Photo Credit: NOAA/AOML

William (Bill) Ramstrom

Senior Software Engineer (University of Miami/CIMAS), Hurricane Research Division


4301 Rickenbacker Causeway
Miami, Florida 33149

William (Bill) Ramstrom is a Senior Software Engineer through the University of Miami’s Cooperative Institute of Marine and Atmospheric Studies (CIMAS) for the Hurricane Research Division at AOML.

Current Work

Senior Software Engineer (University of Miami/CIMAS), Hurricane Research Division

  1. 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
  2. Gopalakrishnan, S., D. Koch, S. Upadhayay, M. DeMaria, F. MARKS, E.N. Rappaport, A. Mehra, V. Tallapragada, Y. Jung, G. Alaka, C. Alexander, M. Bender, L. Bernardet, M. Biswas, T. Black, M. Brennan, J. Cangialosi, J. Dong, R. Dunlap, M. Ek, J.L. Franklin, L. Gramer, G. Hallliwell, L. Harris, A. Hazelton, J.S. Hilderbrand, E. Kalina, H.S. Kim, P. Kucera, N. Lett, B. Liu, T. Marchok, P. McCaslin, K. Musgrave, L. Nance, K. Newman, M. Onderlinde, A. Penny, W. Ramstrom, J. Sippel, R. Torn, X. Wang, W. Wang, J. Whitaker, H. Winterbottom, D.A. Zelinsky, F. Zhang, C. Zhang, X. Zhang, Z. Zhang, and L. Zhu. 2019 Hurricane Forecast Improvement Project R&D activities summary: Recent results and operational implementation. HFIP Technical Report, HFIP2020-1, 45 pp., https://doi.org/10.25923/qzd3-m787 2020
    Ref. 3876
  3. Hazelton, A.T., X. Zhang, S. Gopalakrishnan, W. Ramstrom, F. Marks, and J.A. Zhang. High-resolution ensemble HFV3 forecasts of Hurricane Michael (2018): Rapid intensification in shear. Monthly Weather Review, 148(5):2009-2032, https://doi.org/10.1175/MWR-D-19-0275.1 2020
    Ref. 3782

March 2022 NOAA OAR Team Member of the Month

For contributions that have improved hurricane structure and intensity predictions that will greatly benefit the public and emergency managers in their decision-making.