Dr. Y.-H. Tseng is currently a Distinguished Professor in the Institute of Oceanography, National Taiwan University (NTU). He is also the director of Ocean Center at NTU. Dr. Tseng’ research interests include Earth System Modeling and climate change/variability, oceanic and atmospheric modeling, Pacific variability and air-sea interaction, high-performance computing, fluid dynamics, and turbulence. Before working at NTU, he has worked as a project scientist at National Center for Atmospheric Research and as an associate professor at Department of Atmospheric Sciences, NTU. He developed a new community ocean model system which can simulate the multi-scale ocean dynamics (https://coda.oc.ntu.edu.tw/research/timcom). He also developed different parameterizations and high-performance computational methods to improve the climate model. Recently, he proposed a new Pacific variability framework based on a series of works that progressed in the last few years. These works evolved into a latest ENSO prediction scheme which has been used in the current ensemble ENSO forecast made by IRI/CPC and CMME. He has published more than 100 papers in SCI journals. He was a recipient of Outstanding Research Award, National Science & Technology Council and Most Cited Article Award for Terrestrial, Atmospheric and Oceanic Sciences.

Computational Oceanography and Dynamics of Air-sea interaction (CODA) Laboratory (previously High-performance Computing & Environmental Fluid Dynamics Laboratory, HC/EFDL [MOVIE]) mainly focuses on the computational modeling for Geophysical Fluid Dynamics (GFD) and its application in oceanic and atmospheric dynamics. In particular, our primary expertise is in the ocean-atmosphere interaction and multidisciplinary applications using high performance computational tools. This involves Pacific interannual to decadal variability, ENSO prediction, integrated coastal/global ocean modeling, Earth System Model development and parameterization, large-eddy simulation for environmental flows and boundary layers, and sub-grid scale modeling. With the recent advance of computational tools, we are targeting multi-scales environmental flow applications covering a broad range of spectrum.