Xianpu Ji

Research

Tropical atmospheric dynamics, precipitation variability, model evaluation, and data-driven meteorology.

Equatorial wave dynamics

Diagnosis of Kelvin waves, mixed Rossby-gravity waves, and convectively coupled wave structures using satellite observations, reanalysis products, and model outputs.

Tropical precipitation variability

Analysis of precipitation organization, oceanic rainfall regimes, and the modulation of tropical rainfall by waves, convection, and large-scale circulation.

Climate model and AI methods

Evaluation of CMIP6 simulations, WRF-based workflows, and machine learning approaches for precipitation nowcasting and meteorological pattern recognition.

Current focus

  • Quantifying how coupled climate models represent convectively coupled Kelvin waves.
  • Connecting tropical wave spectra with precipitation variability over oceanic regions.
  • Building reproducible Python workflows for meteorological data processing and visualization.

Related notes

Writing connected to research