1. Cintineo, John L.; Pavolonis, Michael J. and Sieglaff, Justin M. ProbSevere LightningCast: a deep-learning model for satellite-based lightning nowcasting. Weather and Forecasting, Volume 37, Issue 7, 2022, pp.1239-1257. Reprint # 8869.
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2. Crawford, Alice; Chai, Tianfeng; Wang, Binyu; Ring, Allison; Stunder, Barbara; Loughner, Christopher P.; Pavolonis, Michael and Sieglaff, Justin. Evaluation and bias correction of probabilistic volcanic ash forecasts. Atmospheric Chemistry and Physics, Volume 22, Issue 21, 2022, pp.13967-13996. Reprint # 8884.
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3. Hyman, David M. R.; Pavolonis, Michael J. and Sieglaff, Justin. A novel approach to estimating time-averaged volcanic SO2 fluxes from infrared satellite measurements. Remote Sensing, Volume 13, Issue 5, 2021, pp.966. Reprint # 8648.
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4. 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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5. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Wimmers, Anthony; Brunner, Jason and Bellon, Willard. A Deep-Learning Model for Automated Detection of Intense Midlatitude Convection Using Geostationary Satellite Images. Weather and Forecasting, Volume 35, Issue 6, 2020, 2567–2588. Reprint # 8653.
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| 6. Pavolonis, Michael J.; Sieglaff, J. and Cintineo, J. L. Automated volcanic cloud identification, tracking, and characterization using JPSS and GOES-R. Conference on Satellite Meteorology and Oceanography, 22nd, Houston, TX, 7-11 January 2018. American Meteorological Society, Boston, MA, 2018, Abstract 2.2. |
| 7. Cintineo, John L.; Pavolonis, M. J.; Sieglaff, J.; Karstens, C. D. and Calhoun, K. M. Automated severe thunderstorm guidance from the NOAA/CIMSS ProbSevere model within the hazardous weather testbed. Conference on Transition of Research to Operations, 8th, Houston, TX, 7-11 January 2018. American Meteorological Society, Boston, MA, 2018, Abstract 13A.1. |
8. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Automated detection explosive volcanic eruptions using satellite-derived cloud vertical growth rates. Earth and Space Science, Volume 5, Issue 12, 2018, pp.903-928. Reprint # 8356.
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9. 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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| 10. Griffin, Sarah M.; Otkin, J. A.; Rozoff, C. M.; Sieglaff, J.; Cronce, L. M.; Alexander, C.; Bullock, R.; Gotway, J. H.; Jensen, T. L. and Wolff, J. K. Object-based verification for the HRRR model using simulated and observed GOES infrared brightness temperatures. Conference on Weather Analysis and Forecasting, 28th, and Conference on Numerical Weather Prediction, 24th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 612. |
11. 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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12. 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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| 13. Cintineo, John; Pavolonis, Michael; Sieglaff, Justin; Brunner, Jason and Lindsey, Daniel. Next generation geostationary satellite observations in a multi-sensor severe weather nowcasting tool. 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2-6 October 2017. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2017, Abstract 395. |
| 14. Pavolonis, Michael; Sieglaff, Justin and Cintineo, John. Automated volcanic cloud identification, tracking, and characterization using next generation meteorological satellites. 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2-6 October 2017. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2017, Abstract 270. |
| 15. Otkin, Jason; Griffin, Sarah; Sieglaff, Justin; Rozoff, Chris; Cronce, Lee; Bullock, Randy; Halley-Gotway, John; Jensen, Tara and Wolff, Jamie. Using geostationary satellite observations to assess the accuracy of short-range forecasts from the High-resolution rapid refresh (HRRR) model. 2016 EUMETSAT Meteorological Satellite Conference, Darmstadt, Germany, 26-30 September 2016. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2016, PowerPoint presentation. |
| 16. Line, Bill; Calhoun, Kristin; Kingfield, Darrel; Meyer, Tiffany; Garfield, Gabe; Mecikalski, John; Jewett, Chris; Sieglaff, Justin; Cintineo, John; Li, Jun; Stano, Geoffrey; Rabin, Bob; Lindsey, Dan; Pavolonis, Mike; Schimit, Tim; Goodman, Steve; Barnet, Chris and Gambacorta, Antonia. HWT 2016 GOES-R/JPSS spring experiment - Overview and preliminary takeaways through 3 (of 4) weeks. 2016 NOAA Satellite Proving Ground/User Readiness Meeting, Norman, OK, 9-13 May 2016. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. |
| 17. Pavolonis, Michael J.; Sieglaff, J. and Cintineo, J. L. Automated utilization of weather satellites for global mitigation of aviation related volcanic hazards. Aviation, Range, and Aerospace Meteorology Special Symposium, 5th, and Conference on Environmental Information Processing Techniques, 32nd, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract J.3.2. |
| 18. Otkin, Jason A.; Sieglaff, J.; Griffin, S. M.; Cronce, L. M. and Alexander, C. R. Development of a GOES-based verification and forecaster guidance system for the high-resolution rapid refresh model. Annual Symposium on New Generation Operational Environmental Satellite Systems, 12th, and Conference on Transition of Research to Operations, 6th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract J9.6. |
| 19. Pavolonis, Michael J.; Cintineo, J. L.; Sieglaff, J. and Lindsey, D. T. The NOAA/CIMSS ProbSevere Model - integration of NWP, satellite lightning, and radar data for improved severe weather warnings. Annual Symposium on New Generation Operational Environmental Satellite Systems, 12th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 8.2. |
| 20. Otkin, Jason; Griffin, S. M.; Rozoff, C. M.; Sieglaff, J.; Cronce, L. and Alexander, C. R. Using GOES brightness temperatures to assess the accuracy of short-range forecasts from the High-Resolution Rapid Refresh (HRRR) model. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 98. |
| 21. Pavolonis, Michael J.; Sieglaff, J. and Cintineo, J. L. Volcanic cloud identificatin, tracking, and characterization with next generation satellites. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 9.3. |
| 22. Sieglaff, Justin; Pavolonis, M. J. and Cintineo, J. L. The importance of satellite-based predictors in the NOAA/CIMSS ProbSevere model. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 9.2. |
23. Gravelle, Chad M.; Mecikalski, John R.; Line, William E.; Bedka, Kristopher M.; Petersen, Ralph A.; Sieglaff, Justin M.; Stano, Geoffrey T. and Goodman, Steven J. Demonstration of a GOES-R satellite convective toolkit to 'bridge the gap' between severe weather watches and warnings: An example from the 20 May 2013 Moore, Oklahoma, tornado outbreak. Bulletin of the American Meteorological Society, Volume 97, Issue 1, 2016, pp.69-84. Reprint # 7564.
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| 24. Cintineo, John L.; Pavolonis, M. J.; Sieglaff, J. and Brunner, J. C. The impact of total lightning information in the NOAA/CIMSS ProbSevere model. Conference on Severe Local Storms, 28th, Portland, OR, 7-11 November 2016. American Meteorological Society, Boston, MA, 2016, Abstract 9.1. |
| 25. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John and Bellon, Bill. The Volcanic Cloud Analysis Tool (VOLCAT). 2015 GOES-R/JPSS OCONUS Satellite Proving Ground Technical Interchange Meeting, Anchorage, AK, 12-15 May 2015. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation. |