| 51. 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. |
52. 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 |
53. 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 |
54. 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 |
| 55. 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. |
| 56. 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. |
| 57. Schmit, Timothy J.; Goodman, Steven J.; Lindsey, Daniel T.; Rabin, Robert M.; Bedka, Kristopher M.; Cintineo, John L.; Velden, Christopher S.; Bachmeier, A. Scott; Lindstrom, Soctt S.; Gunshor, Mathew M. and Schmidt, Christopher C. Imager scan scenarios: What is and what may be. 2014 NOAA Satellite Science Meeting, 10-14 March 2014. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2014, PowerPoint presentation. |
| 58. 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. |
| 59. Schmit, Timothy J,; Goodman, S. J.; Lindsey, D. T.; Rabin, R. M.; Bedka, K.; Cintineo, J. L.; Velden, C.; Bachmeier, A. S.; Lindstrom, S. S.; Gunshor,M. and Schmidt, C. GOES-14 super rapid scan operations to prepare for GOES-R. Annual Symposium on New Generation Operational Environmental Satellite Systems, 10th, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract 4.3. |
| 60. 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. |
| 61. 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. |
| 62. 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. |
| 63. 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. |
| 64. Schmit, Timothy J.; Goodman, Steven J.; Lindsey, Daniel T.; Rabin, Robert M.; Bedka, Kristopher M.; Cintineo, John L.; Velden, Christopher S.; Bachmeier, A. Scott; Lindstrom, Soctt S.; Gunshor, Mathew M. and Schmidt, Christopher C. Imager scan scenarios: What is and what may be. 2014 NOAA Satellite Science Meeting, 10-14 March 2014. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2014, PowerPoint presentation. |
| 65. 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. |
| 66. 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. |
67. 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 |
68. 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 |
| 69. 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. |
| 70. Schmit, Timothy J,; Goodman, S. J.; Lindsey, D. T.; Rabin, R. M.; Bedka, K.; Cintineo, J. L.; Velden, C.; Bachmeier, A. S.; Lindstrom, S. S.; Gunshor,M. and Schmidt, C. GOES-14 super rapid scan operations to prepare for GOES-R. Annual Symposium on New Generation Operational Environmental Satellite Systems, 10th, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract 4.3. |
| 71. 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. |
| 72. 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. |
| 73. Pavolonis, Mike; Sieglaff, Justin and Cintineo, John. Development of a multi-sensor volcanic cloud monitoring system. NOAA 2013 Satellite Conference for Direct Readout, GOES/POES, and GOES-R/JPSS Users, College Park, MD, 8-12 April 2013. NASA, Goddard Space Flight Center, GOES-R Program Office, Greenbelt, MD, 2013, PowerPoint presentation. |
| 74. Pavolonis, Mike; Sieglaff, Justin and Cintineo, John. Development of a multi-sensor volcanic cloud monitoring system. NOAA 2013 Satellite Conference for Direct Readout, GOES/POES, and GOES-R/JPSS Users, College Park, MD, 8-12 April 2013. NASA, Goddard Space Flight Center, GOES-R Program Office, Greenbelt, MD, 2013, PowerPoint presentation. |
75. 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, 2009–2023. Reprint # 7077.
Link to PDF |