Jesmonth, K. R., S. W. Nesbitt, R. M. Rauber, M. R. Peters, C. Pettersen, L. A. McMurdie, 2024: Microphysical Processes within a Heavy Mixed Precipitation Band in the 16-17 January 2022 Winter Storm. AMS Annual Meeting, New Orleans, LA, 13 January 2025.
Heymsfield, A., 2025: Relationship of Snow Microphysics and Precipitation Generating to Vertical Motions in Snowbands and Generating Cells in Snowstorms. AMS Annual Meeting, New Orleans, LA, 14 January 2025.
Garcia, V., L. A. McMurdie, and R. M. Rauber, 2025: Radar and Microphysical Properties in the Dendritic Growth Layer of Winter Storms: Findings from the IMPACTS Field Campaign. AMS Annual Meeting, New Orleans, LA, 16 January 2025.
Filipiak, B., M. Astitha and D. Cerrai, 2025: Assessing the Impact of Initial and Boundary Conditions on WRF Microphysics in Northeast U.S. Winter Cyclones with the Support of Extensive NASA Field Campaign Instrumentation. AMS Annual Meeting, New Orleans, LA, 13 January 2025.
Douglas, J. C., G. M. McFarquhar, D. J. Delene, K. L. Thornhill, G. M. Heymsfield, and C. N. Helms, 2025: Characterizing variations of cloud microphysical properties with respect to position in snowbands and small-scale vertical motion: A Case Study of 23 January 2023 Storm during IMPACTS. AMS Annual Meeting, New Orleans, LA, Poster, 13 January 2025.
Davis, P., A. M. Dzambo, G. M. McFarquhar, G. M. Heymsfield, C. N. Helms, K. L. Thornhill, and D. J. Delene, 2025: Evaluating Turbulence and Gravity Waves in relation to High Ice Water Content Observations during IMPACTS: A Case Study Analysis. AMS Annual Meeting, New Orleans, LA, Poster, 14 January 2025.
Amoit, C., G., T. J. Lang, R. Kroodsma, C. B. Blankenship, J. B. Roberts, B. T. Johnson, M. Grecu, I. Adams, 2025: Geophysical Retrievals and Cloud Analyses from Merged Airborne Radiometer Datasets Covering 10-684 GHz. AMS Annual Meeting, New Orleans, LA, 15 January 2025.
Moore, Jennifer, 2023: Evaluation of the Water Content Measurement Model 3000 Probe (WCM-3000) Using the NASA IMPACTS Dataset, UND, Master’s awarded December, 2023.
DeLaFrance, Andrew, 2024: Process-Based Imprints on Ice-Phase Precipitation Evolution: Quantitative Outcomes and Implications for Radar Remote Sensing. University of Washington, PhD awarded November 25, 2024.
McGill, M. J., P. A. Selmer, A. W. Kupchock, and J. E. Yorks, 2023: Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar, Front. Remote Sens., 4- 2023, doi: 10.3389/frsen.2023.1116817.