| 76. 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. |
| 77. 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. |
| 78. 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. |
| 79. 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. |
| 80. 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. |
| 81. 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. |
82. 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 |
83. 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 |
| 84. 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. |
| 85. 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. |
| 86. 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. |
| 87. 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. |
| 88. 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. |
| 89. 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. |
| 90. 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. |
| 91. 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. |
| 92. 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. |
93. 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 |
94. 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 |
| 95. 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. |
| 96. 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. |
| 97. 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. |
| 98. 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. |
99. 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 |
100. 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 |