Altug Aksoy

Headshot of Altug Aksoy. Photo credit, NOAA AOML.

Research Interests

Ensemble-based data assimilation. 

Hurricane data assimilation and modeling. 

Radar data assimilation. 

Simultaneous state and parameter estimation.

Ensemble forecasting and model development.

Hurricanes and tropical meteorology.

Convective- and vortex-scale analysis and forecasting.

Altug Aksoy, Ph.D.

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


4301 Rickenbacker Causeway
Miami, Florida 33149

“The more you trust what you already know, the worse becomes the performance of data assimilation.”

Dr. Altug Aksoy has scientific interests in data assimilation, numerical weather prediction, and ensemble methods, and especially in their application to tropical and mesoscale meteorology, as well as remote sensing platforms such as radars, lidars, and satellites. He has been jointly appointed at Hurricane Research Division and University of Miami’s Cooperative Institute for Marine and Atmospheric Studies since 2008.

Current Work

Developer of the in-house HEDAS data assimilation system, data assimilation and data impact applications for hurricane inner-core applications, and one of the lead PIs of NOAA’s new HAFS data assimilation system.

Download Full CV

2005, Ph.D., Atmospheric Sciences, Texas A&M University, College Station, TX

1994, M.B.A., Finance and Investments, The George Washington University, Washington, D.C.

1991, B.S., Mechanical Engineering, Boğazici University, Istanbul, Turkey

  1. Aksoy, A. A Monte Carlo approach to understanding the impacts of initial-condition uncertainty, model uncertainty, and simulation variability on the predictability of chaotic systems: Perspectives from the one-dimensional logistic map. Chaos, 34(1):011102, 2024
    Ref. 4387
  2. 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., 2023
    Ref. 4413
  3. Sellwood, K.J., J.A. Sippel, and A. Aksoy. Assimilation of Coyote small uncrewed aircraft system observations in Hurricane Maria (2017) using operational HWRF. Weather and Forecasting, 38(6):901-919, 2023
    Ref. 4242

2021 American Meteorological Society Certificate of Appreciation for Service as Editor of the Board of the Monthly Weather Review

2018 Aviation Laureate Award for Dual Defense Use

For the use of the Coyote unmanned aerial system to gather data in the eye of Hurricane Maria, enabling NOAA to better forecast how intense the storm would be at landfall and more accurately estimate the magnitude of Maria’s storm surge. 

2011, 2012 U.S. Department of Commerce Certificate of Recognition

2011 American Meteorological Society Editor’s Award

For providing a large number of high-quality reviews to several of the editors.

2011 NASA Group Achievement Award

For outstanding contributions to the Genesis and Rapid Intensification Processes (GRIP) field campaign as members of the GRIP Science Team during the 2010 Atlantic hurricane season. 

2003 College of Geosciences Graduate Excellence Scholarship, Texas A&M University

2002 Mr./Mrs. Kenneth P. Pike Fellowship, Texas A&M University