Justin Sieglaff



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Results: Found 254 records (displaying records 51 through 75)


51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
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.; 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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,
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63. 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.
64. 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.
65. 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.
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. 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.
68. Bah, Kaba; Greenwald, Tom; Pierce, Brad; Lenzen, Allen; Rogal, Marek; Nelson, Jim; Otkin, Jason; Schaack, Todd; Davies, Jim; Borbas, Eva; Sieglaff, Justin and Huang, Hung-Lung. Near-real-time validation of simulated GOES-R ABI radiances and derived products, using the WRF-Chem model forecast over CONUS for all 16 ABI bands. 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, poster presentation.
69. Feltz, Wayne; Carey, Larry; Heidinger, Andrew; Grasso, Louis; Li, Jun; Lindsey, Dan; Mecikalski, John; Pavolonis, Michael; Petersen, Ralph; Sieglaff, Justin; Smith, Travy and Weygandt, Steve. GOES-R/JPSS severe weather and lightning: Current and future scientific advances. 2013 NOAA Satellite Science Week, 18-22 March 2013. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.
70. Sieglaff, Justin; Pavolonis, Michael; Calvert, Corey and Gerth, Jordan. Supporting Alaska Region National Weather Service Volcanic Ash Advisory Center and weather forecast offices with IMAPP processing. CSPP/IMAPP Users' Group Meeting, Madison, WI, University of Wisconsin-Madison, 21-23 May 2013. University of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI, 2013, PowerPoint presentation. 20 slides,
PDF Document Link to PDF
71. Lindstrom, Scott S.; Feltz, W.; Bachmeier, S.; Sieglaff, J.; Cronce, L.; Calvert, C. and Pavolonis, M. Leveraging the GOES-R Proving Ground process and forecaster feedback to improve GOES-R products and training material. Conference on Transition of Research to Operations, 3rd, Austin, TX, 6-10 January 2013. American Meteorological Society, Boston, MA, 2013, Abstract 808.
72. Feltz, Wayne; Pavolonis, Michael; Heidinger, Andrew; Gerth, Jordan; Sieglaff, Justin; Bachmeier, Scott; Lindstrom, Scott; Bah, Kaba; Velden, Christopher and Petersen, Ralph. Overview of UW-Madison, CIMSS/NOAA ASPB satellite proving ground participation. 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, poster presentation.
73. Bah, Kaba; Rogal, Marek; Greenwald, Tom; Pierce, Brad; Lenzen, Allen; Nelson, Jim; Otkin, Jason; Schaack, Todd; Davies, Jim; Borbas, Eva; Sieglaff, Justin and Huang, Hung-Lung. Near-real-time validation of simulated GOES-R ABI radiances and derived products, using the WRF-Chem model forecast over CONUS for all 16 ABI bands. 2013 NOAA Satellite Science Week, 18-22 March 2013. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.
74. 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. National Weather Association annual meeting, 38th, North Charleston, SC, 12-17 October 2013. National Weather Association, Raleigh, NC, 2013, abstract.
75. Greenwald, Tom; Pierce, B.; Otkin, J.; Schaack, T.; Davies, J.; Borbas, E.; Rogal, M.; Sieglaff, J. and Huang, H. L. Near-real-time simulated ABI imagery for user readiness, retrieval algorithm evaluation and model verification. Annual Symposium on Future Operational Environmental Satellite Systems, 9th, Austin, TX, 6-10 January 2013. American Meteorological Society, Boston, MA, 2013, Abstract 294.