Schwerdtfeger Library Publications Database

Results: Found 6542 records (displaying records 601 through 625)

601. Cintineo, John L.; Pavolonis, M. J. and Sieglaff, J.. Preliminary evaluation of a fused algorithm for the prediction of severe storms. Boston, MA, American Meteorological Society, 2014, Abstract 7.1.

602. Cintineo, John L.; Pavolonis, M. J. and Sieglaff, J.. Preliminary evaluation of a fused algorithm for the prediction of severe storms. Boston, MA, American Meteorological Society, 2014, Abstract 7.1.

603. Cintineo, John L.; Pavolonis, M. J.; Sieglaff, J. and Brunner, J. C.. The impact of total lightning information in the NOAA/CIMSS ProbSevere model. Boston, MA, American Meteorological Society, 2016, Abstract 9.1.

604. Cintineo, John L.; Pavolonis, M. J.; Sieglaff, J. and Brunner, J. C.. The impact of total lightning information in the NOAA/CIMSS ProbSevere model. Boston, MA, American Meteorological Society, 2016, Abstract 9.1.

605. 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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606. 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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607. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M. and Heidinger, Andrew K.. Evolution of severe and nonsevere convection inferred from GOES-derived cloud properties. Journal of Applied Meteorology and Climatology, Volume: 52, Issue: 9, 2013. Reprint # 7077.
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608. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M. and Heidinger, Andrew K.. Evolution of severe and nonsevere convection inferred from GOES-derived cloud properties. Journal of Applied Meteorology and Climatology, Volume: 52, Issue: 9, 2013. Reprint # 7077.
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609. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M. and Lindsey, Daniel T.. An empirical model for assessing the severe weather potential of developing convection. Weather and Forecasting, Volume: 29, Issue: 3, 2014. Reprint # 7227.
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610. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M. and Lindsey, Daniel T.. An empirical model for assessing the severe weather potential of developing convection. Weather and Forecasting, Volume: 29, Issue: 3, 2014. Reprint # 7227.
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611. 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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612. 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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613. 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. Reprint # 8653.
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614. 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. Reprint # 8653.
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615. Cintineo, John; Pavolonis, Michael; Sieglaff, Justin; Brunner, Jason and Lindsey, Daniel. Next generation geostationary satellite observations in a multi-sensor severe weather nowcasting tool. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 395.

616. Cintineo, John; Pavolonis, Michael; Sieglaff, Justin; Brunner, Jason and Lindsey, Daniel. Next generation geostationary satellite observations in a multi-sensor severe weather nowcasting tool. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 395.

617. Cintineo, Rebecca M.; Strabala, K. I.; Gumley, L. E.; Huang, A.; Borbas, E.; Weisz, E. and Pierce, B.. IMAPP: Supporting the Aqua and Terra operational community. Boston, MA, American Meteorological Society, 2015, Abstract 621.

618. Cintineo, Rebecca M.; Strabala, K. I.; Gumley, L. E.; Huang, A.; Borbas, E.; Weisz, E. and Pierce, B.. IMAPP: Supporting the Aqua and Terra operational community. Boston, MA, American Meteorological Society, 2015, Abstract 621.

619. Cintineo, Rebecca M.; Strabala, K. I.; Gumley, L. E.; Huang, A.; Davies, J. E.; Borbas, E.; Weisz, E. and Pierce, B.. IMAPP: Supporting the Aqua and Terra operational community. Boston, MA, American Meteorological Society, 2014, Abstract 341.

620. Cintineo, Rebecca M.; Strabala, K. I.; Gumley, L. E.; Huang, A.; Davies, J. E.; Borbas, E.; Weisz, E. and Pierce, B.. IMAPP: Supporting the Aqua and Terra operational community. Boston, MA, American Meteorological Society, 2014, Abstract 341.

621. Cintineo, Rebecca; Davies, James; Pierce, Bradley; Weisz, Elisabeth; Smith, Nadia and Strabala, Kathy. IDEA-A air quality forecast software package: Aerosol, ozone, and carbon monoxide detection and trajectories. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2014. 7p.
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622. Cintineo, Rebecca; Davies, James; Pierce, Bradley; Weisz, Elisabeth; Smith, Nadia and Strabala, Kathy. IDEA-A air quality forecast software package: Aerosol, ozone, and carbon monoxide detection and trajectories. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2014, poster presentation. 1p.
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623. Cintineo, Rebecca; Davies, James; Pierce, Bradley; Weisz, Elisabeth; Smith, Nadia and Strabala, Kathy. IDEA-A air quality forecast software package: Aerosol, ozone, and carbon monoxide detection and trajectories. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2014. 7p.
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624. Cintineo, Rebecca; Davies, James; Pierce, Bradley; Weisz, Elisabeth; Smith, Nadia and Strabala, Kathy. IDEA-A air quality forecast software package: Aerosol, ozone, and carbon monoxide detection and trajectories. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2014, poster presentation. 1p.
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625. Clothiaux, E. E.; Ackerman, T. P.; Ackerman, S. A.; Minnis, P.; Miller, M. A.; Verlinde, J.; Berendes, T. A.; Di Girolamo, L.; Key, J.; Turner, D. D.; Frey, R. A.; Bachmann, C. M. and Nolin, A.. Cloud detection: One possible future in the ARM and EOS timeframes. Boston, MA, American Meteorological Society, 1999, pp.258-261. Reprint # 2585.