1. Roberts, Rita D.; Goodman, Steven J.; Wilson, James W.; Watkiss, Paul; Powell, Robert; Petersen, Ralph A.; Bain, Caroline; Faragher, John; Chang'a, Ladislaus B.; Kapkwomu, Julius Kiprop; Oloo, Paul N.; Sebaziga, Joseph N.; Hartley, Andrew; Donovan, Timothy; Mittermaier, Marion; Cronce, Lee and Virts, Katrina S. Taking the HIGHWAY to save lives on Lake Victoria. Bulletin of the American Meteorological Society, Volume 103, Issue 2, 2022, E485-E510. Reprint # 8821.
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2. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Cronce, Lee and Brunner, Jason. NOAA ProbSevere v2.0-ProbHail, ProbWind, and ProbTor. Weather and Forecasting, Volume 35, Issue 4, 2020, pp.1523-1543. Reprint # 8606.
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3. Schmit, Timothy J.; Li, Jun; Lee, Su Jeong; Li, Zhenglong; Dworak, Richard; Lee, Yong-Keun; Bowlan, Michael; Gerth, Jordan; Martin, Graeme D.; Straka, William; Baggett, Kevin C. and Cronce, Lee. Legacy atmospheric profiles and derived products from GOES-16: validation and applications. Earth and Space Science, Volume 6, Issue 9, 2019, pp.1730-1748. Reprint # 8458.
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4. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Lindsey, Daniel T.; Cronce, Lee; Gerth, Jordan; Rodenkirch, Benjamin; Brunner, Jason and Gravelle, Chad. The NOAA/CIMSS ProbSevere Model: Incorporation of total lightning and validation. Weather and Forecasting, Volume 33, Issue 1, 2018, pp.331-345. Reprint # 8269.
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5. Griffin, Sarah M.; Otkin, Jason A.; Rozoff, Christopher M.; Sieglaff, Justin M.; Cronce, Lee M.; Alexander, Curtis R.; Jensen, Tara L. and Wolff, Jamie K. Seasonal analysis of cloud objects in the High-Resolution Rapid Refresh (HRRR) model using object-based verification. Journal of Applied Meteorology and Climatology, Volume 56, Issue 8, 2017, pp.2317-2334. Reprint # 8083.
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6. Griffin, Sarah M.; Otkin, Jason A.; Rozoff, Christopher M.; Sieglaff, Justin M.; Cronce, Lee M. and Alexander, Curtis R. Methods for comparing simulated and observed satellite infrared brightness temperatures and what do they tell us?. Weather and Forecasting, Volume 32, Issue 1, 2017, pp.5-25. Reprint # 7824.
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7. Petersen, Ralph Alvin; Cronce, Lee; Mamrosh, Richard; Baker, Randy and Pauley, Patricia. On the impact and future benefits of AMDAR observations in operational forecasting, part II: Water vapor observations. Bulletin of the American Meteorological Society, Volume 97, Issue 11, 2016, 2117–2133. Reprint # 7622.
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8. Sieglaff, Justin M.; Cronce, Lee M. and Feltz, Wayne F. Improving satellite-based convective cloud growth monitoring with visible optical depth retrievals. Journal of Applied Meteorology and Climatology, Volume 53, Issue 2, 2014, 506–520. Reprint # 7169.
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9. Sieglaff, Justin M.; Hartung, Daniel C.; Feltz, Wayne F.; Cronce, Lee M. and Lakshmanan, Valliappa. A satellite-based convective cloud object tracking and multipurpose data fusion tool with application to developing convection. Journal of Atmospheric and Oceanic Technology, Volume 30, Issue 3, 2013, 510–525. Reprint # 6952.
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10. Hartung, Daniel C.; Sieglaff, Justin M.; Cronce, Lee M. and Feltz, Wayne F. An intercomparison of UW cloud-top cooling rates with WSR-88D radar data. Weather and Forecasting, Volume 28, Issue 2, 2013, 463–480. Reprint # 6972.
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11. Gerth, Jordan; Cronce, Lee; Wade, Gary; Schmit, Tim; Craven, Jeff; Cooper, Diane and Crowe, Christina. Madison, Wis., hosts 37th NWA Annual Meeting brings membership together. National Weather Association Newsletter, 2012, pp.3-4. Reprint # 6948.
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12. Sieglaff, Justin M.; Cronce, Lee M.; Feltz, Wayne F.; Bedka, Kristopher M.; Pavolonis, Michael J. and Heidinger, Andrew K. Nowcasting convective storm initiation using satellite-based box-averaged cloud-top cooling and cloud-type trends. Journal of Applied Meteorology and Climatology, Volume 50, Issue 1, 2011, pp.110-126. Reprint # 6404.
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