1. Van Eaton, Alexa R.; Lapierre, Jeff; Behnke, Sonja A.; Vagasky, Chris; Schultz, Christopher J.; Pavolonis, Michael; Bedka, Kristopher and Khlopenkov, Konstantin. Lightning rings and gravity waves: insights into the giant eruption plume from Tonga's Hunga Volcano on 15 January 2022. Geophysical Research Letters, Volume 50, Issue 12, 2023, e2022GL102341. Reprint # 8963.
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2. Van Eaton, Alexa R.; Smith, Cassandra M.; Pavolonis, Michael and Said, Ryan. Eruption dynamics leading to a volcanic thunderstorm-The January 2020 eruption of Taal volcano, Philippines. Geology, Volume 50, Issue 4, 2022, pp.491-495. Reprint # 8785.
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3. 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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4. 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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5. 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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6. 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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7. 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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8. Hyman, David M. and Pavolonis, Michael J. Probabilistic retrieval of volcanic SO2 layer height and partial column density using the Cross-track Infrared Sounder (CrIS). Atmospheric Measurement Techniques, Volume 13, 2020, 5891–5921. Reprint # 8655.
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9. Hargie, Kirstin A.; Van Eaton, Alexa R.; Mastin, Larry G.; Holzworth, Robert H.; Ewert, John W. and Pavolonis, Michael. Globally detected volcanic lightning and umbrella dynamics during the 2014 eruption of Kelud, Indonesia. Journal of Volcanology and Geothermal Research, Volume 382, 2019, pp.81-91. Reprint # 8520.
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| 10. 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. |
| 11. 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. |
12. 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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13. 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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14. Chai, Tianfeng; Crawford, Alice; Stunder, Barbara; Pavolonis, Michael J.; Draxler, Roland and Stein, Ariel. Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals. Atmospheric Chemistry and Physics, Volume 17, Issue 4, 2017, pp.2865-2879. Reprint # 7903.
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15. Wu, Dong L.; Baum, Bryan A.; Choi, Yong-Sang; Foster, Michael J./Kalsson, Karl-Goran; Heidinger, Andrew; Poulsen, Carolin; Pavolonis, Michael; Riedi, Jerome; Roebeling, Robert; Sherwood, Steven; Thoss, Anke and Watts, Philip. Toward global harmonization of derived cloud products. Bulletin of the American Meteorological Society, Volume 98, Issue 2, 2017, ES49-ES52. Reprint # 7907.
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| 16. Kahn, Doug T.; Rudlosky, S. D.; Meyers, P. C. and Pavolonis, M. J. Evaluating the ProbSevere model over the Atlantic Ocean using WDSS-II. Conference on Transition of Research to Operations, 7th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 880. |
17. Calvert, Corey; Pavolonis, Michael; Lindstrom, Scott; Gravelle, Chad and Terborg, Amanda. The GOES-R/JPSS approach for identifying hazardous low clouds: Overview and operational impacts. European Geosciences Union General Assembly 2017, Vienna, Austria, 23-28 April 2017. Abstracts. European Geosciences Union (EGU), Munich, Germany, 2017, Abstract 19378.
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| 18. 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. |
| 19. Goodman, Steven J.; Schmit, T. J.; Lindsey, D. T.; Pavolonis, M. J. and Line, W. NOAA new generation satellite capabilities for improved severe storm forecasts and warnings. Special Symposium on Severe Local Storms, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 4.2. |
| 20. 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. |
| 21. Reath, Kevin; Pritchard, Matthew E.; Poland, Michael P.; Wessels, Rick L.; Biggs, Juliet; Carn, Simon A.; Griswold, Julia Pamela; Ogburn, Sarah E.; Wright, Robert; Lundgren, Paul; Andrews, Benjamin James; Wauthier, Christelle; Lopez, Taryn; Vaughan, Richard Gregory; Rumpf, M. Elise; Webley, Peter W.; Loughlin, Susan; Meyer, Franz J. and Pavolonis, Michael J. The Powell Volcano remote sensing working group overview. AGU Fall Meeting, New Orleans, LA, 11-15 December 2017. American Geophysical Union, Washington, DC, 2017, Abstract PA22A-06. |
22. Pavolonis, Michael J. GOES-R user testimonials: Research perspective. 2017 NOAA Satellite Conference, New York, NY, 17-20 July 2017. Goddard Space Flight Center, GOES-R Series Program Office, Greenbelt, MD, 2017, PowerPoint presentation.
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| 23. Hubbard, Shane; Pavolonis, M. J. and Calvert, C. G. Using geographical surface characteristics to detect near real-time valley fog. Symposium on Advances in Modeling and Analysis Using Python, 6th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 449. |
| 24. 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. |
| 25. Pavolonis, Michael J.; Cintineo, John; Seiglaff, Justin; Lindsey, Dan and Cronce, Lee. ProbSevere - Recent upgrade and future outlook. 2016 NOAA Satellite Proving Ground/User Readiness Meeting, Norman, OK, 9-13 May 2016. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. |