\ Hurricane Research Division of AOML/NOAA
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NOAA's Atlantic Oceanographic and Meteorological Laboratory
4301 Rickenbacker Causeway
Miami, FL 33149

Professional Interests

Dr. Quirino is an IT Specialist at the US National Oceanic and Atmospheric Adminsitration's (NOAA) Hurricane Research Division (HRD). His research interests include applied evolutionary search and optimization, machine learning, data mining, distributed memory programming, numerical modeling, Unix system security and managament, and tropical cyclones.

In 2007, Dr. Quirino had the privilege to join NOAA's HRD Numerical Modeling Group, where he has since then worked on the development of NOAA's HWRF model. His work includes the development of end-to-end model automation systems that manage HWRF model forecasts in real-time, model graphical visualization systems, model-to-obs intercomparison diagnostics, and advanced parallelization/speed-up of the HWRF model infrastructure under high-resolution forecast loads. Along with other group members, he has worked on the development of the latest Basin-scale HWRF model, the first ever NOAA research model capable of forecasting multiple storms simultaneously in high-resolution. He has also maintained important Unix systems that are vital to HRD's strategic research plan.

Dr. Quirino received his Bachelors (2004), Masters (2005), and and Doctor of Philosophy (2012) degrees in Electrical and Computer Engineering from the University of Miami, Coral Gables, FL, where he was part of the Distributed Decision Environment (DDE) laboratory of the College of Engineering. His dissertation focused on the the development of Evolutionary Strategies capable of automatically designing both more accurate and computationally efficient pattern recognition systems.

Current Research Projects

    Recently Published Peer-Reviewed Papers

    1. Androulidakis, Y., V. Kourafalou, T. Ozgokmen, O. Garcia-Pineda, B. Lund, M. Le Henaff, C. Hu, B.K. Haus, G. Novelli, C. Guigand, H.-S. Kang, L. Hole, and J. Horstmann. Influence of river-induced fronts on hydrocarbon transport: A multiplatform observational study. Journal of Geophysical Research-Oceans. 123(5):3259-3285, doi:10.1029/2017JC013514 2018
    2. Annane, B., B. McNoldy, S.M. Leidner, R. Hoffman, R. Atlas, and S.J. Majumdar. A study of the HWRF analysis and forecast impact of realistically simulated CYGNSS observations assimilated as scalar wind speeds and as VAM wind vectors. Monthly Weather Review, 146(7):2221-2236, doi:10.1175/MWR-D-17-0240.1 2018
    3. Archer, M.R., S.R. Keating, M. Roughan, W.E. Johns, R. Lumpkin, F. Beron-Vera, and L.K. Shay. The kinematic similarity of two western boundary currents revealed by sustained high-resolution observations. Geophysical Research Letters, 45(12):6176-6185, doi:10.1029/2018GL078429 2018