Kaleb Clover
Mount Pleasant,MI
Summary
Atmospheric scientist specializing in severe weather climatology and hazard prediction using advanced statistics. Creates Python workflows for ERA5 and CMIP6 spatial datasets and trains hierarchical Bayesian models to improve hazard forecasting. Provides practical grounding through leading fieldwork and teaching university-level coursework.
Overview
5
5
years of professional experience
Work History
Master's (MS) Researcher & Course Instructor
Central Michigan University
05.2023 - Current
- Developed 3-tier hierarchical Bayesian statistical framework in Python with PyMC to establish statistical tornado climatology, integrating negative binomial regression for monthly tornado days, shifted negative binomial models for daily outbreaks, and Weibull distributions for extreme wind intensity.
- Directed undergraduate teams through targeted instrument deployments during ICECHIP (2025) and MITTEN-CI (2024), coordinating field activities and supporting applied research experience.
- Led undergraduate course, Severe and Unusual Weather, as Instructor (Jan 2025 – May 2025), shaping curriculum that connected students with real-world weather phenomenon.
Master's Researcher
University of Michigan
08.2021 - 05.2023
- Built and ran high-resolution Weather Research and Forecasting (WRF) model simulations.
- Analyzed climate and atmospheric model data to pinpoint anthropogenic factors contributing to extreme flooding events.
- Guided undergraduate engineering students in designing, coding, and constructing atmospheric sensor payloads for vertical boundary layer profiling in ENGR 100.
Climate Data & Assessment Intern
Great Lakes Integrated Sciences and Assessments (GLISA)
05.2022 - 08.2022
- Analyzed 30-year baseline climatologies across 78 Great Lakes climate divisions using NCEI nClimDiv datasets.
- Authored technical guidance documents for NOAA Atlas 14 precipitation frequency tools to support regional infrastructure resilience.
Education
M.S. - Earth and Ecosystems Science
Central Michigan University
Mount Pleasant, MI12-2026
M.Eng. - Applied Climate
University of Michigan
Ann Arbor, MI05-2023
B.S.E. - Climate and Meteorology
University of Michigan
Ann Arbor, MI05-2022
Skills
- Programming & Software: Python (PyMC, Xarray, Pandas, NumPy, MetPy, Cartopy, GeoPandas, Scipy), R, MATLAB, ArcGIS, LaTeX, Excel
- Statistical & Atmospheric Modeling: Bayesian Modeling, Weather Research and Forecasting (WRF), Data Visualization
- Datasets & Formats: ERA5, CMIP6, NetCDF, GRIB/GRIB2, NCEI nClimDiv, NOAA Atlas 14, CSV
- Operational & Applied Skills:Field Coordination, Weather Forecasting, Technical Writing
Publications
Publications & Presentations: Primary author of a manuscript in review on seasonal tornado day predictors; delivered presentations at the AMS Annual Meetings (2025, 2026) and AMS Severe Local Storms Conference (2026).
Timeline
Master's (MS) Researcher & Course Instructor
Central Michigan University
05.2023 - Current
Climate Data & Assessment Intern
Great Lakes Integrated Sciences and Assessments (GLISA)
05.2022 - 08.2022
Master's Researcher
University of Michigan
08.2021 - 05.2023
M.S. - Earth and Ecosystems Science
Central Michigan University
M.Eng. - Applied Climate
University of Michigan
B.S.E. - Climate and Meteorology
University of Michigan