| 26. Feltz, Wayne F.; Pavolonis, Michael; Heidinger, Andrew; Schmit, Tim; Gerth, Jordan; Petersen, Ralph; Cronce, Lee; Dengel, Russ; Santek, David; Batzli, Sam; Bachmeier, Scott; Sieglaff, Justin; Calvert, Cory; Bah,Kaba and Strabala, Kathy. An overview of UW-Madison CIMSS/NOAA ASPB satellite proving ground OCONUS activities. 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. |
27. Schmit, Timothy J.; Goodman, Steven J.; Gunshor, Mathew M.; Sieglaff, Justin; Heidinger, Andrew K.; Bachmeier, A. Scott; Lindstrom, Scott S.; Terborg, Amanda; Feltz, Joleen; Bah,Kaba; Rudlosky, Scott; Lindsey, Daniel T.; Rabin, Robert M. and Schmidt, Christopher C. Rapid refresh information of significant events: Preparing users for the next generation of geostationary operational satellites. Bulletin of the American Meteorological Society, Volume 96, Issue 4, 2015, 561–576, supplement. Reprint # 7393.
 Link to PDF |
| 28. Otkin, Jason A.; Sieglaff, J.; Griffin, S.; Cronce, L. M. and Alexander, C. Development of a near-real-time GOES-based satellite verification and forecaster guidance system for the HRRR model. Conference on Weather Analysis and Forecasting, 27th, and Conference on Numerical Weather Predication, 23rd, Chicago, IL, 29 June-3 July 2015. American Meteorological Society, Boston, MA, 2015, Abstract 25. |
29. Schmit, Timothy J.; Goodman, Steven J.; Gunshor, Mathew M.; Sieglaff, Justin; Heidinger, Andrew K.; Bachmeier, A. Scott; Lindstrom, Scott S.; Terborg, Amanda; Feltz, Joleen; Bah,Kaba; Rudlosky, Scott; Lindsey, Daniel T.; Rabin, Robert M. and Schmidt, Christopher C. Rapid refresh information of significant events: Preparing users for the next generation of geostationary operational satellites. Supplement. Bulletin of the American Meteorological Society, Volume 96, Issue 4, 2015, ES55-ES63. Reprint # 7393.
Link to PDF |
| 30. 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. |
31. 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.
Link to PDF |
32. 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.
Link to PDF |
| 33. Pavolonis, Mike; Cintineo, John; Sieglaff, Justin; Lindsey, Dan and Loken, Eric. Near real time integration of satellite and radar data for probabilistic nearcasting of severe weather. 2015 NOAA Satellite Science Week, Boulder, CO, 23-27 February 2015. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, PowerPoint presentation. |
| 34. Otkin, Jason A.; Sieglaff, Justin; Griffin, Sarah; Cronce, Lee and Alexander, Curtis. Development of a GOES-based verification and forecaster guidance system for the High Resolution Rapid Refresh (HRRR) model. 2015 EUMETSAT Meteorological Satellite Conference, Toulouse, France, 21-25 September 2015. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2015, poster presentation. |
35. Pavolonis, Michael; Sieglaff, Justin and Cintineo, John. The development of JPSS volcanic cloud applications. STAR JPSS 2015 Annual Science Team Meeting, College Park, MD, 24-28 August 2015. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation. 48 slides,
Link to PDF |
| 36. Gravelle, Chad; Mecikalski, John; Petersen, Ralph; Sieglaff, Justin and Stano, Geoffrey. Using GOES-R demonstration products to bridge the gap between severe weather watches and warning for the 20 May 2013 Moore, OK tornado outbreak. GOES-R Science Seminar, 24 January 2014. National Oceanic and Atmospheric Administration (NOAA), 2014, abstract; PowerPoint presentation. |
37. 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, 639–653. Reprint # 7227.
Link to PDF |
38. Pavolonis, Michael; Sieglaff, Justin and Cintineo, John. AWG volcanic ash products. AWG Validation Workshop, 2nd, College Park, MD, 9-10 January 2014. NASA, Goddard Space Flight Center, GOES-R Program Office, Greenbelt, MD, 2014, PowerPoint presentation. 64 slides,
Link to PDF |
| 39. Gravelle, Chad M.; Mecikalski, J.; Petersen, R.; Sieglaff, J. and Stano, G. T. Using GOES-R demonstration products to bridge the gap between severe weather watches and warnings for the 20 May 2013 Moore, OK tornado outbreak. Annual Symposium on New Generation Operational Environmental Satellite Systems, 10th, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract J1.2. |
| 40. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John; Calvert, Corey; Hubbard, Shane and Bellon, Bill. Multi-sensor satellite algorithm development for volcanic and fog hazards. 2014 GOES-R/JPSS OCONUS satellite proving ground research to operations meeting, Honolulu, HI, 29 July-1 August 2014. National Oceanic and Atmospheric Administration (NOAA), 2014, PowerPoint presentation. |
| 41. Pavolonis, Mike; Cintineo, John; Sieglaff, Justin and Lindsey, Dan. Exploiting satellite data for increasing the lead-time of severe weather warnings. Conference on Severe Local Storms, 27th, Madison, WI, 2-7 November 2014. American Meteorological Society, Boston, MA, 2014, recorded presentation. |
42. Monette, Sarah A. and Sieglaff, Justin M. Probability of convectively induced turbulence associated with geostationary satellite-inferred cloud-top cooling. Journal of Applied Meteorology and Climatology, Volume 53, Issue 2, 2014, 429–436. Reprint # 7167.
Link to PDF |
43. Sieglaff, Justin M.; Cronce, Lee M. and Feltz, Wayne F. Improving satellite-based convective cloud growth monitoring with visible optical depth retrievals. Journal of Applied Meteorology and Climatology, Volume 53, Issue 2, 2014, 506–520. Reprint # 7169.
Link to PDF |
| 44. Sieglaff, Justin; Pavolonis, M. J.; Cintineo, J. L. and Lindsey, D. T. NOAA/CIMSS Prob Severe model: Integrating remotely sensed observations of deep convection. Conference on Severe Local Storms, 27th, Madison, WI, 2-7 November 2014. American Meteorological Society, Boston, MA, 2014, Abstract 3A.5. |
| 45. Gravelle, Chad M.; Petersen, R. A.; Mecikalski, J. R.; Line, W.; Sieglaff, J. and Stano, G. T. Using GOES-R demonstration products to bridge the gap between severe weather watches and warnings for the 20 May 2013 Moore, OK tornado outbreak. Conference on Severe Local Storms, 27th, Madison, WI, 2-7 November 2014. American Meteorological Society, Boston, MA, 2014, Abstract J1.1. |
| 46. Pavolonis, Mike; Cintineo, John; Sieglaff, Justin and Lindsey, Dan. Integrated observations for probabilistic severe storm prediction. 2014 NOAA Satellite Science Meeting, 10-14 March 2014. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2014, PowerPoint presentation. |
| 47. Schmit, Timothy J.; Gunshor, M. M.; Sieglaff, J.; Line, W.; Bachmeier, A. S.; Lindstrom, S.; Lindsey, D. T.; Alsheimer, F.; Radell, D. B.; Rabin, R. M.; Gravelle, C. M.; Bah, K. and Goodman, S. J. Mesoscale observations: GOES-14 imagers 1-minute rapid scan data. Conference on Severe Local Storms, 27th, Madison, WI, 2-7 November 2014. American Meteorological Society, Boston, MA, 2014, Abstract 4A.4A. |
| 48. Pavolonis, M. J.; Cintineo, J.; Sieglaff, J. and Lindsey, D. T. Near real time integration of satellite and radar data for probabilistic nearcasting of severe weather. AGU Fall Meeting, San Francisco, CA, 15-19 December 2014. American Geophysical Union, Washington, DC, 2014, Abstract IN42A-02. |
| 49. Gravelle, C.; Mecikalski, J.; Petersen, R.; Line, B.; Sieglaff, J. and Stano, G. Using GOES-R demonstration products to bridge the gap between severe weather watches and warnings for the 20 May 2013 Moore, OK tornado outbreak. 2014 EUMETSAT Meteorological Satellite Conference, Geneva, Switzerland, 22-26 September 2014. Abstracts. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2014, abstract. |
| 50. Cintineo, John L.; Pavolonis, M. J. and Sieglaff, J. Preliminary evaluation of a fused algorithm for the prediction of severe storms. Conference on Probability and Statistics in the Atmospheric Sciences, 22nd, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract 7.1. |