Radar & Atmospheric Data Analytics

Analysed radar, disdrometer, reanalysis and geospatial datasets to identify physically meaningful weather signals.

In practice

From observing systems to defensible atmospheric evidence.

My work spans operational radar products, dual-polarisation interpretation, precipitation microphysics, moisture tracking and large geospatial datasets. I focus on turning complex observational fields into analyses that remain physically legible.

Led day-to-day radar data operations and production-product delivery at HKO.
Used Doppler velocity, reflectivity, hydrometeor classification, ZDR and multi-band comparisons to diagnose severe convection.
Analysed drop-size distributions across convective, stratiform and tropical-cyclone rainfall regimes.
Worked with Python, xarray, NetCDF, reanalysis and geospatial visualisation workflows.

Methods & tools

Dual-polarisation radarPythonxarrayNetCDFEDATime seriesGeospatial visualisation

Selected evidence