Tropical cyclone intensity change.
Tropical cyclone forecasting.
Andrew Hazelton, Ph.D.
Assistant Scientist (University of Miami/CIMAS), Hurricane Research Division
“I enjoy meteorology because weather affects everyone, and there’s always so much to learn. Growing up in Florida, I experienced several hurricanes, and it thrills me to be able to study and analyze them in my career.”
Dr. Andrew Hazelton is involved with the Hurricane Research Division Modeling Team, working on the Hurricane Analysis and Forecast System (HAFS). He received his Ph.D. from Florida State University in 2016, then spent two years as a postdoc at NOAA’s Geophysical Fluid Dynamic Laboratory and Princeton University before coming to AOML/CIMAS. Andrew enjoys researching tropical cyclones using numerical models like HAFS, and also observations like those collected in HRD’s field program.
Current work involves development and evaluation of the Hurricane Analysis and Forecast System (HAFS), including doing real-time runs, evaluating models through comparison with observations, and improving model physics.
2016, Ph.D., Meteorology, Florida State University, Tallahassee, FL
2013, M.S., Meteorology, Florida State University, Tallahassee, FL
2011, B.S., Meteorology, Florida State University, Tallahassee, FL
- Chen, X., A. Hazelton, F.D. Marks, G.J. Alaka, and C. Zhang. Performance of an improved TKE-based eddy-diffusivity mass-flux (EDMF) PBL scheme in 2021 hurricane forecasts from Hurricane Analysis and Forecast System. Weather and Forecasting, 38(2):321-336, https://doi.org/10.1175/WAF-D-22-0140.1 2023
- Hazelton, A., G.J. Alaka Jr., M. Fischer, R. Torn, and S. Gopalakrishnan. Factors influencing the track of Hurricane Dorian (2019) in the west Atlantic: Analysis of a HAFS ensemble. Monthly Weather Review, 151(1):175-192, https://doi.org/10.1175/MWR-D-22-0112.1 2023
- 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