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John L. Cintineo



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Results: Found 42 records (displaying records 1 through 25)


1. Li, Jun; Zheng, Jing; Li, Bo; Min, Min; Liu, Yanan; Liu, Chian-Yi; Li, Zhenglong; Menzel, W. Paul; Schmit, Timothy J.; Cintineo, John L.; Lindstrom, Scott; Bachmeier, Scott; Xue, Yunheng; Ma, Yayu; Di, Di and Lin, Han. Quantitative Applications of Weather Satellite Data for Nowcasting: Progress and Challenges. Journal of Meteorological Research, Volume 38, Issue 3, 2024, pp.399-413.
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2. 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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3. Gard, Thomas L.; Fuelberg, Henry E. and Cintineo, John L. The utility of ProbSevere v2.0 for predicting pulse severe thunderstorms. Weather and Forecasting, Volume 37, Issue 9, 2022, pp.1601-1613. Reprint # 8876.
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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. Karstens, Christopher D.; Correia, James Jr.; LaDue, Daphne S.; Wolfe, Jonathan; Meyer, Tiffany C.; Harrison, David R.; Cintineo, John L.; Calhoun, Kristin M.; Smith, Travis M.; Gerard, Alan E. and Rothfusz, Lans P. Development of a human-machine mix for forecasting severe convective events. Weather and Forecasting, Volume 33, Issue 3, 2018, pp.715-737. Reprint # 8283.
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9. 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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10. 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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11. 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.
12. 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.
13. Karstens, Christopher; Stumpf, G. J.; Ling, C.; Kingfield, D. M.; Correla, J. Jr.; LaDue, D.; Calhoun, K. M.; Meyer, T. C.; Smith, T. M.; Cintineo, J. L.; Melick, C. J. and Rothfusz, L. P. Forecaster decision-making with automated probabilistic guidance in the 2015 Hazardous Weather Testbed Probabilistic Hazard Information Experiment. Symposium on Building a Weather-Ready Nation, 4th, Enhancing Our Nation's Readiness, Responsiveness, and Resilience to High Impact Weather Events, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 4.2.
14. 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.
15. 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.
16. 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.
17. Meyers, Patrick C.; Rudlosky, S.; Ferraro, R.; Pavolonis, M. J.; Cintineo, J. L. and Wang, N. Y. Identification of hazardous weather for offshore forecasting. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 86.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John and Bellon, Bill. The Volcanic Cloud Analysis Toolkit (VOLCAT). Meeting on the Intercomparison of Satellite-based Volcanic Ash Retrieval Algorithms within WMO SCOPE-Nowcasting, Madison, WI, 28 June-2 July 2015. University of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI, 2015, PowerPoint presentation.
24. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Spectrally Enhanced Cloud Objects - A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 2. Cloud object analysis and global application. Journal of Geophysical Research-Atmospheres, Volume 120, Issue 15, 2015, pp.7842-7870. Reprint # 7478.
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25. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Spectrally Enhanced Cloud Objects - A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 1. Multispectral analysis. Journal of Geophysical Research-Atmospheres, Volume 120, Issue 15, 2015, pp.7813-7841. Reprint # 7477.
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