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. 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.
Link to PDF |
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.
Link to PDF |
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. 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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7. 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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8. 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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9. 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.
Link to PDF |
10. 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.
Link to PDF |
| 11. 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. |
| 12. 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. |
13. 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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14. 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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15. 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.
Link to PDF |
16. 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.
Link to PDF |
| 17. 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. |
| 18. 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. |
| 19. 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. |
20. 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.
Link to PDF |
21. 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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| 22. 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. |
| 23. 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. |
| 24. 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. |
25. 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.
Link to PDF |