Published Works

2024:

Keaveney, C. W., G. M. Lackmann, and T. E. Dowling, 2024:  Effect of transient vortex interactions on the size and strength of Jupiter’s Great Red Spot. Icarus, 420,116196, ISSN 0019-1035, https://doi.org/10.1016/j.icarus.2024.116196.

Campbell, T. A., G. M. Lackmann, M. J. Molina, and M. D. Parker, 2024:  Severe convective storms in limited instability organized by pattern and distribution. Wea. Forecasting, 39, 217–240.

2023:

Radford, J. T., G. M. Lackmann, J. Goodwin, J. Correia, and K. Harnos, 2023: An Iterative Approach towards Development of Ensemble Visualization Techniques for High-Impact Winter Weather Hazards. Part 2: Product Evaluation. Bull. Amer. Meteor. Soc., 104, E1649–E1669.

Radford, J. T., G. M. Lackmann, J. Goodwin, J. Correia, Jr., and K. Harnos, 2023:  An iterative approach towards development of ensemble visualization techniques for high-impact winter weather hazards. Part 1: Product development. Bull. Amer. Met. Soc.,104, E1630–E1648.

Radford, J. T., and G. M. Lackmann, 2023: Assessing Variations in the Predictive Skill of Ensemble Snowband Forecasts with Object-Oriented Verification and Self-Organizing Maps. Wea. Forecasting, 38, 1673–1693.

Radford, J. T., and G. M. Lackmann, 2023: Improving High-Resolution Ensemble Forecast (HREF) System Mesoscale Snowband Forecasts with Random Forests. Wea. Forecasting, 38, 1695–1706.

Chase, R. J., D. R. Harrison, G. M. Lackmann, and A. McGovern, 2023: A Machine Learning Tutorial for Operational Meteorology. Part II: Neural Networks and Deep Learning. Wea. Forecasting,  38, 1271–1293, 

Jung, C., and  G.M. Lackmann, 2023:  Changes in tropical cyclones undergoing extratropical transition in a warming climate: Quasi-idealized numerical experiments of North Atlantic landfalling events. Geophysical Res. Lett., 50, e2022GL101963. 

2022:

Turnau, R., Robinson, W. A., Lackmann, G. M. and Michaelis, A. C.,2022: Model projections of increased severity of heat waves in Eastern Europe. Geophysical Res. Lett., 49, p.e2022GL100183.

Chase, R. J., D. R. Harrison, A. Burke, G. M. Lackmann, and A. McGovern, 2022: A machine learning tutorial for operational meteorology. Part I: Traditional machine learning. Wea. Forecasting, 37, 1509–1529.

Zick, S., C. Matyas, G. M. Lackmann, J. Tang, and B. Bennett (2022), Illustration of an object-based approach to identify structural differences in tropical cyclone wind fields, Quart. J. Roy.Met. Soc., 148, 2587–2606.

Stuart, N. A., G. Hartfield, D. M Schultz, K. Wilson, G. West, R. Hoffman, G. M. Lackmann, H. Brooks, P. Roebber, T. Bals-Elsholz, H. Obermeier, F. Judt, P. Market, D. Nietfeld, B. Telfeyan, D. Depodwin, J. Fries, E. Abrams, J. Shields, 2022: The evolving role of humans in weather prediction and communication. Bull. Amer. Meteor. Soc., 103, 2022

Done, J. M., G.M. Lackmann, and A. F. Prein, 2022: The response of tropical cyclone intensity to changes in environmental temperature, Wea. Clim. Dyn., 3, 693–711.

2021:

Lackmann, G. M., R. L. Miller, A. C. Michaelis, and W. A. Robinson, 2021: Persistent anomaly changes in high-resolution climate simulations.  J. Climate, 34, 5425–5442.

Tierney, G. T., W. A. Robinson, and G. M. Lackmann, 2021: The sensitivity of persistent geopotential anomalies to the climate of a moist channel model.  J. Climate, 34, 5093–5108.

Michaelis, A. C., and G. M. Lackmann, 2021: Storm-scale dynamical changes of extratropical transition events in present-day and future high-resolution global simulations.  J. Climate, 34, 5037–5062.

Jung, C., and G. M. Lackmann, 2021: The response of extratropical transition of tropical cyclones to climate change: Quasi-idealized numerical experiments.  J. Climate, 34, 4361–4381.

Green Jr, T. A., D. Leins, G. M. Lackmann, J. Morrow, and J. Blaes, 2021: The National Weather Service-North Carolina State University internship course: Impacts and success over a generation. Bull. Amer. Met. Soc., 102, E2079–E2085.

2020:

Kunkel, K. E., D. R. Easterling, A. Ballinger, S. Bililign, S. M. Champion, D. R. Corbett, K. D. Dello, J. Dissen, G. M. Lackmann, R. A. Luettich, Jr., L. B. Perry, W. A. Robinson, L. E. Stevens, B. C. Stewart, and A. J. Terando, 2020: North Carolina Climate Science Report. North Carolina Institute for Climate Studies, 233 pp. https://ncics.org/nccsr

Miller, R. L., G. M. Lackmann, and W. A. Robinson, 2020: A new variable-threshold persistent anomaly index: Northern Hemisphere anomalies in the ERA-Interim reanalysis, Mon. Wea. Rev., 147, 43–62.