Dr. Haberlie is interested in observed and future projections of climate extremes, severe and hazardous weather, and land use/land cover effects on regional climatology. He uses machine learning, digital image processing, and climate modeling to conduct his research.
Haberlie, A. M., W. S. Ashley, and M. Karpinski, 2021: Mean storms: Composites of radar reflectivity images during two decades of severe thunderstorm events. International Journal of Climatology, 41, E1738-E1756.
Ashley, W. S., A. M. Haberlie, and V. Gensini, 2020: Reduced frequency and size of late twenty-first-century snowstorms over North America. Nature Climate Change, 10, 539–544.
Haberlie, A. M., and W. S. Ashley, 2019: Climatological representation of mesoscale convective systems in a dynamically downscaled climate simulation. International Journal of Climatology, 39, 1144-1153.
Haberlie, A. M., and W. S. Ashley, 2019: A radar-based climatology of mesoscale convective systems in the United States. Journal of Climate, 32, 1591-1606.
Haberlie, A. M., and W. S. Ashley, 2018: A Method for Identifying Midlatitude Mesoscale Convective Systems in Radar Mosaics. Part I: Segmentation and Classification. Journal of Applied Meteorology and Climatology, 57, 1575-1598.
Haberlie, A. M., W. S. Ashley, and T. Pingel, 2015: The effect of urbanization on the climatology of thunderstorm initiation. Quarterly Journal of the Royal Meteorological Society, 141, 663-675.
Vortex Southeast (NOAA), 2021-2024. “Faster, Clearer, Stronger Communication and Action: Building IWT and Vulnerable Resident Connections to Improve Severe Weather Literacy and Outcome”
The Adaptation Sciences Program (NOAA), 2021-2023, “Planning a Flood Resilient Future for New Orleans, LA.”
National Science Foundation, 2019-2022, “The Role of Mesoscale Convective System Precipitation in the Hydroclimate of the Conterminous United States”
Louisiana Board of Regents Research Competitiveness Subprogram, 2019-2021, “Building a Climatology of Mesoscale Convective Processes Using Image-Classification and Machine-Learning Techniques on Sequences of Radar Data”
National Sea Grant College Program (NOAA), 2018-2020, “Communicating Climate Tools to Coastal Stakeholders”
United States Geological Survey, 2014, “Hydro-meteorological responses to tropical system precipitation in Illinois”
SeVere Reflectivity IMaGe Dataset
Ph.D., Northern Illinois University