\ 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. Balaguru, K., G.R. Foltz, L.R. Leung, S.M. Hagos, and D.R. Judi. On the use of ocean dynamic temperature for hurricane intensity forecasting. Weather and Forecasting, 33(2):411-418, doi:10.1175/WAF-D-17-0143.1 2018
    2. Boukabara, S.-A., K. Ide, N. Shahroudi, Y. Zhou, T. Zhu, R. Li, L. Cucurull, R. Atlas, S.P.F. Casey, and R.N. Hoffman. Community global Observing System Simulation Experiment (OSSE) package (CGOP): Perfect observations simulation validation. Journal of Atmospheric and Oceanic Technology, 35(1):207-226, doi:10.1175/JTECH-D-17-00771 2018
    3. Cyronak, T., A.J. Andersson, C. Langdon, R. Albright, N.R. Bates, K. Caldeira, R. Carlton, J.E. Corredor, R.B. Dunbar, I. Enochs, J. Erez, B.D. Eyre, J.-P. Gattuso, D. Gledhill, H. Kayanne, D.I. Kline, D.A. Koweek, C. Lantz, B. Lazar, D. Manzello, A. McMahon, M. Melendez, H.N. Page, I.R. Santos, E. Shaw, J. Silverman, A. Suzuki, L. Teneva, A. Watanabe, and S. Yamamota. Taking the metabolic pulse of the world’s coral reefs. PLoS ONE, 13(1):e0190872, doi:10.1371/journal.pone.0190872 2018