Research Interests:

Understanding and predicting seasonal-to-interannual climate variations are areas of immense importance to society. Many uncertainties still remain in improving climate predictions and utilizing climate predictions. My research tries to contribute to the two most important issues by using advanced numerical models and innovative mathematical techniques. My research interests include:

• Ensemble prediction and predictability study
  
  • Singular vector and stochastic optimal analysis
  • relative entropy analysis

• ENSO prediction and Interannual/interdecadal oscillation.:
  • coupled models from ICM, HCM to CGCM.
  • data analysis and diagnoses

• Data Assimilation
  • Adjoint assimilation
  • Kalman filter
  • Ensemble Kalman filter

• Neural Network
  • NN Regression
  • Nonlinear principal components (NLPCA)
  • Nonlinear Canonical correlation analysis (NLCCA)

• Development of nonlinear & non-Gauddian data assimilation techniques.
• Coupled Model Data Assimilation.
• Ensemble prediction for the tropical Pacific (ENSO) and Indian Ocean (IOD).
• Predictability Study