Project




Highlights


  1. Used Monte Carlo error analysis to show the first detection of sea level fingerprint by using NASA GRACE satellite data. (Published on Geophysical Research Letters , and highlighted by Nature , NASA/JPL , AGU and UCI )

  2. Quantified the likelihood of record-breaking global temperature during an El Nino event under different emission scenarios in the 21st Century with multi-model ensemble statistics derived from Coupled Model Intercomparison Projects (CMIP3, CMIP5, and CMIP6) (published on Environmental Research Letters).

  3. Validated the ocean model performance across different time scales in the OMIPI & OMIPII setup with a focus on GFDL/OM4 model output (published on Geoscientific Model Development).

  4. Developed the diagnostic tools for climate model validation in tropical Pacific sea level and tropical ocean surface flux .

  5. Proficiency with various remote sensing data including GRACE, Altimetry, Landsat satellite imagery for extracting the useful physical signals like water/ice mass changes in land hydrology, cryosphere, and ocean.

  6. Optimized and tested the simulation of mesoscale atmospheric convection by combining different numerical methods and by introducing parallel computing.

  7. Classified the hurricane/typhoon based on rainfall events and tracks in the southwest Pacific area in the past 40 years and further project the possible future changes through multivariate regression.