Yang Song
Hydrodynamic Modeler
Dr. Yang Song is a hydrodynamic modeler working with Dr. Ayumi Fujisaki-Manome and the climate modeling team at NOAA GLERL to advance the understanding of oil spill processes in the Great Lakes. Before joining CIGLR, he focused on using numerical tools to address algal bloom and water quality problems in reservoirs and rivers. He also did a modeling study for Karlodinium blooms in the Chesapeake Bay during his visit at University of Maryland Center for Environmental Science (UMCES). For journal services, Dr. Song is a reviewer for Science of the Total Environment, Ecological Modeling, and the Journal of Hydrology, etc.
Education:
- Ph.D. in Hydraulics and River Dynamics, Sichuan University, 2020
- Visiting Ph.D. student, University of Maryland Center for Environmental Science, 2019
- Visiting Ph.D. student, University of Minnesota, 2018
- B.S. in Hydraulic and Hydro-Power Engineering, North China University of Water Resources and Electric Power, 2013
Research Interest/Area of Expertise:
- Hydrodynamic modeling
- Water quality modeling
- Harmful algal blooms and eutrophication
- Multiobjective optimization
- Phytoremediation.
Publications and Articles
Publications and Articles:
Song, Y. (2025). Forecasting short-term Chlorophyll a concentration in Lake Erie using the machine learning XGBoost algorithm. Environmental Research Letters, 620, 129375. (DOI:10.1088/1748-9326/add6b7). [Altmetric Score]
Song, Y., Shen, C.Q., Hong, Y. (2025). Comparing the performance of 10 machine learning models in predicting Chlorophyll a in western Lake Erie. Journal of Environmental Management. 380:125007. (DOI:10.1016/j.jenvman.2025.125007).
Song, Y., Fujisaki-Manome, A., Barker, H.C., MacFadyen, A., Titze, D., Kessler, J., Wang, J. (2025). Introducing a simple convex hull method to calibrate diffusion coefficients in Lagrangian particle models. Ocean Engineering. 316:119926. (DOI:10.1016/j.oceaneng.2024.119926).
Song, Y., Fujisaki-Manome, A., Barker, H. C., MacFadyen, A., Titze, D., Kessler, J., Wright, M. D., Wang, J. (2024). Oil spill modeling in the Great Lakes: The critical impact of ice cover. IAGLR Lakes Letter. pg 12. (Invited feature article).
Song, Y., Fujisaki-Manome, A., Barker, H.C., MacFadyen, A., Kessler, J., Titze, D., Wang, J. (2024). Modeling study on oil spill transport in the Great Lakes: The unignorable impact of ice cover. Journal of Environmental Management. 358: 12810. (DOI:10.1016/j.jenvman.2024.120810).
Song, Y. 2023. Algal bloom prevention: Noteworthy public education. Global Ecology and Conservation. e02608. (DOI:10.1016/j.gecco.2023.e02608).
Song, Y., Shen, C.Q., Wang, Y. (2023). Multi-objective optimal reservoir operation considering algal bloom control in reservoirs. Journal of Environmental Management. 344:118436. (DOI:10.1016/j.jenvman.2023.118436).
Presentations
Presentations:
Song, Y., Fujisaki-Manome, A., Titze, D., Wright, D., Kessler, J. (June 2025). Validating surface currents for driving oil spill models in the Great Lakes. International Association for Great Lakes Research, Milwaukee, United States. (Oral presentation)
Song, Y. (April 2025). Modeling and Control of Algal Blooms in Reservoirs and Lakes. Invited talk by Texas State University. (Oral presentation)
Song, Y., Fujisaki-Manome, A., Barker, C., McFayden, A., Titze, D., Wright, D., Kessler, J., Alloy, MM., Kinner, NE. (December 2024). A new method to improve the interpolation accuracy of external forcings in the GNOME oil spill model. AGU2024 Conference, Washington, D.C, United States. (Poster presentation)
Amari Dupree., Fujisaki-Manome, A., Song, Y., Bishnupriya Sahoo., Nowrin Mow., Meng, Xia. (December 2024). How Does Hydrodynamic Ice events Impact Sediment Plume in the Southern Basin of Lake Michigan? AGU2024 Conference, Washington, D.C, United States. (Poster presentation)
Song, Y. (August 2024). Comparing the performance of 10 machine learning models in predicting Chlorophyll a in western Lake Erie. CIGLR HAB meeting, Ann Arbor, United States. (Oral presentation)
Song, Y., Fujisaki-Manome, A., Barker, C., McFayden, A., Kinner, NE., Kessler, J., Titze, D., Alloy, MM. (May 2024). Oil in ice modeling and risk analysis in the Great Lakes, New Orleans, United States. (Poster presentation)
Song, Y. (January 2024). Progress on oil in ice modeling in the Great Lakes. NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States. (Invited talk)