Biography
Dr. Zhenya Song is a professor of the First Institute of Oceanography, MNR, China. His research field focuses on climate model development and applications, climate change, air-sea interaction, high-performance computing, and machine learning. He has been working on climate model development since 2004 when he was a master's student. He weaved a surface wave model into a global climate model for the first time and found that wave-induced vertical mixing plays a crucial role in simulated ability by improving the simulation of the ocean mixed layer. Then he developed two generations of the earth system model name FIO-ESM (FIO-Earth System Model) and participated in CMIP (Climate Model Inter-comparison Project). Furthermore, based on the FIO-ESM, Dr. Zhenya Song established a short-term climate forecast system to predict ENSO, Arctic sea-ice concentration, and China rainfall. Recently, he started to work on the convergence of machine learning and numerical simulations.
Presentations
