Atmospheric Scientist & Applied Data Analyst — rainfall variability, soil moisture, CMIP6, remote sensing, geospatial analysis
Summary: Multi-model ensemble analysis of soil moisture drivers across Southeast China and Taiwan, focusing on spring (MAM) drought variability and projected changes.
Methods: CMIP6 MME, standardized anomalies, Random Forest & multiple linear regression for driver attribution.
Status: Under peer review.
Summary: Observational and reanalysis study on diurnal rainfall cycles and modulation by ENSO and the MJO.
Methods: IMERG evaluation, station analysis, composite/regression methods.
Summary: High-resolution dynamical modeling of extreme rainfall events in Sri Lanka — process-level analysis of mesoscale convective systems and flood risk.
More project details, code snippets, and data links (where public) will be added here. If you want a PDF or a deeper project write-up for any item, tell me which project and I’ll draft the page.