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
“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.
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.
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
- 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, https://doi.org/10.1175/WAF-D-22-0214.1 2023
- Aksoy, A., J.J. Cione, B.A. Dahl, and P.D. Reasor. Tropical cyclone data assimilation with Coyote uncrewed aircraft system observations, very frequent cycling, and a new online quality control technique. Monthly Weather Review, 150(4):797-829, https://doi.org/10.1175/MWR-D-21-0124.1 2022
- Christophersen, H., J.A. Sippel, A. Aksoy, and N.L. Baker. Recent advances for tropical cyclone data assimilation. Annals of the New York Academy of Sciences, 1517(1):25-43, https://doi.org/10.1111/nyas.14873 2022
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.