Research & background

Connecting processes.
Understanding patterns.

My work combines atmospheric physics with statistical learning to study severe-weather environments and climate extremes.

How do atmospheric environments shape the extremes we experience—and how might those environments change?

I investigate this question using reanalysis, climate-model output, weather simulations, station measurements, and hazard reports. My M.S. research at Western Kentucky University focuses on severe-storm environments in the Ohio River Basin, with related projects extending to heat, drought, and precipitation extremes.

Working with Xingang Fan, Zachary J. Suriano, and Manmeet Singh, I develop reproducible workflows for environmental diagnostics, event–environment matching, model calibration, and independent verification.

01

Severe weather

From environments
to probabilities.

ERA5 diagnostics, NOAA storm reports, Random Forest, and XGBoost support hazard-specific estimates for tornadoes, severe hail, and severe thunderstorm winds.

02

Climate extremes

Heat, drought,
and their overlap.

Historical observations reveal where extremes intensify together. I examine long-term change alongside sensitivity to thresholds, baselines, and drought definitions.

03

Weather & climate modeling

Simulations with
physical context.

WRF event simulations and ERA5–CMIP6 comparisons connect process-level understanding with regional climate diagnostics and future SSP2-4.5 projections.

How I work

A reproducible research workflow.

  1. 01

    Assemble

    Quality-controlled observations, reanalysis, and model output.

  2. 02

    Diagnose

    Physically meaningful environmental parameters and event definitions.

  3. 03

    Evaluate

    Independent testing, calibration, sensitivity, and spatial verification.

  4. 04

    Communicate

    Clear figures, documented methods, and useful research tools.

Education

A foundation in
atmospheric science.

2025–2027 · Expected

M.S. Geosciences

Western Kentucky University

2021–2024

B.Sc. Meteorology & Climate Science

Kwame Nkrumah University of Science and Technology, Ghana

Teaching & practice

Sharing tools.
Building understanding.

Before joining WKU, I served as a Teaching and Research Assistant at KNUST, teaching atmospheric-data workflows with Python, NCL, and Fortran. My work with ForWEB also included weather forecasting and early-warning communication.

PythonxarrayMetPyscikit-learnXGBoostWRFCartopyNetCDFHPC
Researcher profile on ORCID

Research figure