Alex Haberlie

Alex Haberlie

Assistant Professor

Louisiana State University

Biography

Alex Haberlie is an Assistant Professor in the Department of Geography and Anthropology at Louisiana State University. He is a climate scientist who uses geographic information systems, machine learning, and weather models to explore topics related to deep, moist convection (i.e., thunderstorms) and their affiliated hazards.

Interests

  • Mesoscale Convective Systems
  • Climate Change
  • Machine Learning
  • Severe and Hazardous Weather

Education

  • PhD in Geography, 2018

    Northern Illinois University

  • MSc in Geography, 2014

    Northern Illinois University

  • BSc in Computer Science, 2010

    University of Wisconsin - Platteville

Experience

 
 
 
 
 

Assistant Professor

Louisiana State University

Aug 2018 – Present Baton Rouge, Louisiana

Courses:

  • GEOG 2050 - Physical Geography: The Atmosphere
  • GEOG 4014 - Climatology
  • GEOG 4015 - Physical Climatology
  • GEOG 4016 - Methods of Climatological Analysis
 
 
 
 
 

Graduate Assistant

Northern Illinois University

Aug 2012 – Aug 2018 DeKalb, Illinois

Courses:

  • GEOG 102 - Physical Geography Lab
  • GEOG 105 - Introduction to the Atmosphere
  • MET 300 - Physical Meteorology
  • MET 321 - Synoptic Meteorology
  • MET 444 - Mesoscale Meteorology
  • MET 475 - Practicum in Weather Analysis and Forecasting

Projects

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Future Changes in High Impact Weather

Assessing Current and Future Changes in High Impact Weather Events Using Observational and Simulated Data

Regional Thunderstorm Climatology

Assessing The Influence of Land Use and Land Cover on Regional Thunderstorm Climatology.

Recent Publications

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Reduced frequency and size of late-twenty-first-century snowstorms over North America

Understanding how snowstorms may change in the future is critical for estimating impacts on water resources and the Earth and …

Practically Perfect Hindcasts of Severe Convective Storms

This study presents and examines a modern climatology of U.S. severe convective storm frequency using a kernel density estimate to …

A Climatology of Quasi-Linear Convective Systems and Their Hazards in the United States

This research uses image classification and machine learning methods on radar reflectivity mosaics to segment, classify, and track …

A radar-based climatology of mesoscale convective systems in the United States

This research applies an automated mesoscale convective system (MCS) segmentation, classification, and tracking approach to composite …

Climatological representation of mesoscale convective systems in the United States

This research assesses the utility and validity of using simulated radar reflectivity to detect potential changes in linear and …

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