| 201. Pouget, S.; Bursik, M. I.; Sparks, R. S.; Hogg, A. J.; Johnson, C. G.; Singh, T. and Pavolonis, M. J. Gravity current model of the volumetric growth of volcanic clouds: Remote assessment with satellite imagery and estimation of mass eruption rate. AGU Fall Meeting, San Francisco, CA, 9-13 December 2013. American Geophysical Union, Washington, DC, 2013, Abstract V23C-2861. |
| 202. Webley, P.; Patra, A. K.; Bursik, M. I.; Pitman, E. B.; Dehn, J.; Singh, T.; Singla, P.; Stafanescu, E. R.; Madankan, R.; Pouget, S.; Jones, M.; Morton, D. and Pavolonis, M. J. Characterizing uncertainty in the motion, future location and ash concentrations of volcanic plumes and ash clouds. AGU Fall Meeting, San Francisco, CA, 9-13 December 2013. American Geophysical Union, Washington, DC, 2013, Abstract V23B-2812. |
| 203. Pavolonis, Mike; Calvert, Corey; Gravelle, Chad and Lindstrom, Scott. The GOES-R fog/low stratus products. 2013 OCONUS proving ground meeting, Anchorage, AK, 17-21 June 2013. National Oceanic and Atmospheric Administration (NOAA), 2013, PowerPoint presentation. |
| 204. Murray, John J.; Haynes, J. A.; Vernier, J. P.; Pavolonis, M. J. and Krotkov, N. A. Optimal use of satellite data applications for the volcanic ash threat to aviation. Conference on Aviation, Range, and Aerospace Meteorology, 16th, Austin, TX, 6-10 January 2013. American Meteorological Society, Boston, MA, 2013, Abstract 7.6. |
| 205. Webley, P. W.; Steensen, T.; Stuefer, M.; Grell, G.; Freitas, S. and Pavolonis, M. Analyzing the Eyjafjallajokull 2010 eruption using satellite remote sensing, lidar and WRF-Chem dispersion and tracking model. Journal of Geophysical Research-Atmospheres, Volume 117, 2012, doi:10.1029/2011JD016817. Reprint # 6791. |
| 206. Pavolonis, Mike; Sieglaff, Justin and Thomas, Ron. Development of a GOES-R automated volcanic cloud alert system. 2012 NOAA Satellite Science Week, Kansas City, MO, 30 April-4 May 2012. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation. |
| 207. McMahon, N. D.; Thomas, R. J.; Pavolonis, M. J.; Sieglaff, J. and Aster, R. C. Correlating ground-based lightning measurements with ash cloud satellite data from the 2010 Eruption of Eyjafjallajökull Volcano, Iceland. AGU Fall Meeting, San Francisco, CA, 3-7 December 2012. American Geophysical Union, Washington, DC, 2012, Abstract AE23A-0316. |
| 208. Gravelle, Chad M.; Pavolonis, Michael J. and Calvert, Corey G. GOES-R fog and low cloud product demonstration within the National Weather Service Central Region. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract P1.15. |
| 209. Calvert, Corey and Pavolonis, Michael. A quantitative fog/low stratus detection algorithm for GOES-R. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract F17.3. |
| 210. Lindstrom, Scott; Bachmeier, A. Scott; Feltz, Wayne F.; Sieglaff, Justin M. and Pavolonis, Mike. Leveraging the GOES-R Proving Ground process and forecaster feedback to improve GOES-R products and training material. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract F17.6. |
| 211. Cintineo, John L.; Michael J. Pavolonis, Michael J. and Sieglaff, Justin M. Probabilistic forecasting of severe convection. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract F18.1. |
| 212. Sieglaff, Justin; Pavolonis, M. J. and Hartung, D. C. Probabilistic nowcasting of severe convection using the temporal evolution of satellite-derived deep convection cloud properties. Conference on Satellite Meteorology, Oceanography and Climatology, 18th, and Joint AMS-Asia Satellite Meteorology Conference, 1st, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 11A.2. |
213. Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Pavolonis, M.; Pitman, E. B.; Singh, T.; Singla, P. and Webley, P. A DDDAS framework for volcanic ash propagation and hazard analysis. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume 9, 2012, pp.1090-1099. Reprint # 8028.
 Link to PDF |
214. Madankan, R.; Singla, P.; Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Pavolonis, M.; Pitman, B.; Singh, T. and Webley, P. Polynomial chaos quadrature-based minimum variance approach for source parameters estimation. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume 9, 2012, pp.1129-1138. Reprint # 8030.
Link to PDF |
| 215. Calvert, Corey G. and Pavolonis, M. J. A quantitative fog/low stratus detection algorithm for GOES-R. Annual Symposium on Future Operational Environmental Satellite Systems, 8th, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 310. |
| 216. Pavolonis, Michael J.; Calvert, C. G. and Sieglaff, J. New quantitative volcanic cloud and fog products for GOES-R. Annual Symposium on Future Operational Environmental Satellite Systems, 8th, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 4.3. |
| 217. McMahon, N. D.; Thomas, R. J.; Pavolonis, M. J.; Sieglaff, J. and Aster, R. C. Correlating ground-based lightning measurements with ash cloud satellite data from the 2010 Eruption of Eyjafjallajökull Volcano, Iceland. AGU Fall Meeting, San Francisco, CA, 3-7 December 2012. American Geophysical Union, Washington, DC, 2012, Abstract AE23A-0316. |
| 218. Pavolonis, Michael J. and Sieglaff, J. Satellite retrievals of Eyjafjallajokull, Grimsvotn, and Puyehue-Cordon Caulle volcanic ash cloud properties: Evaluation of near real-time results and suggestions for improving operational satellite products. Conference on Interactive Information Processing Systems (IIPS), 28th, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 8B.6. |
| 219. Gravelle, Chad M.; Pavolonis, Michael J. and Calvert, Corey G. GOES-R fog and low cloud product demonstration within the National Weather Service Central Region. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract P1.15. |
| 220. Calvert, Corey and Pavolonis, Michael. A quantitative fog/low stratus detection algorithm for GOES-R. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract F17.3. |
| 221. Lindstrom, Scott; Bachmeier, A. Scott; Feltz, Wayne F.; Sieglaff, Justin M. and Pavolonis, Mike. Leveraging the GOES-R Proving Ground process and forecaster feedback to improve GOES-R products and training material. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract F17.6. |
| 222. Cintineo, John L.; Michael J. Pavolonis, Michael J. and Sieglaff, Justin M. Probabilistic forecasting of severe convection. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract F18.1. |
| 223. Sieglaff, Justin; Pavolonis, M. J. and Hartung, D. C. Probabilistic nowcasting of severe convection using the temporal evolution of satellite-derived deep convection cloud properties. Conference on Satellite Meteorology, Oceanography and Climatology, 18th, and Joint AMS-Asia Satellite Meteorology Conference, 1st, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 11A.2. |
224. Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Pavolonis, M.; Pitman, E. B.; Singh, T.; Singla, P. and Webley, P. A DDDAS framework for volcanic ash propagation and hazard analysis. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume 9, 2012, pp.1090-1099. Reprint # 8028.
Link to PDF |
225. Madankan, R.; Singla, P.; Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Pavolonis, M.; Pitman, B.; Singh, T. and Webley, P. Polynomial chaos quadrature-based minimum variance approach for source parameters estimation. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume 9, 2012, pp.1129-1138. Reprint # 8030.
Link to PDF |