Dr. Kai-Chih Tseng

Proposing a proof-of-concept of generating infinity ensemble members by combining machine learning and statistical mechanics.

Using idealized GCM simulations, Satellite Observation and Radiative Transfer. We explore the hierarchical transition of the tropical wave regimes.

Providing a framework to bridge the gap between existing MJO theory and its prediction/predictability.

Investigating the characteristics of unlimited/limited predictability of 2D/3D turbulence to optimize numerical weather forecasts.

Using a hierarchical modeling framework to investigate mechanisms responsible for the over-persistent bias of annular modes in GCMs.

Using Causal Discovery methods and dynamical system analysis to study the intrinsic predictability limits of the Western North Pacific Subtropical High.

Working on the application of linear stochastic theory to MJO dynamics/diagnostic approach.

Working on the predictability of subtropical high from subseasonal to seasonal timescales. Current research interests shift to data-driven eddy-closure problem.

Working on moist baroclinic wave and annular mode dynamics (using GFDL DyCore) and predictability.

Working on the future projection of tropical waves using quasi-equilibrium framework.

Working on the application of Liouville equation to S2S forecast of Madden-Julian Oscillation.

Working on monsoon depression/onset with model hierarchy and machine learning.

Working on the information theory and predictability of dynamical systems with special focus on ENSO.

Studying the numerical solution of 2D and 3D turbulence predictability.

Studying the interaction between mean Hadley circulation and moisture mode theory

Studying the interaction between cumulus/cloud radiative feedback and tropical convectively coupled waves.

Working on the information theory and its application of atmospheric blocking.

Working on the transition mechanisms of tropical waves to moisture modes.

Working on the information theory and the atmospheric river predictability.

Working on the dynamical behavior of annular mode including its persistence/propagation and predictability.

Working on the information theory and the predictability of tropical cyclones.

Studying the predictability components of subseasonal variability.