| 126. Vernier, Jean-Paul; Fairlie, T. D.; Murray, J. J. and Pavolonis, M. J. Dispersion and optical properties of the Kasatochi volconic plume based on the CALIPSO space-borne lidar. Conference on Environmental Information Processing Technologies, 30th, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract J6.4. |
127. 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 |
| 128. Gultepe, Ismail; Pavolonis, M. J.; Schmitt, C. G.; Heymsfield, A. J.; Kuhn, T. and Gurka, J. Ice crystals and visibility over Arctic regions for aviation applications. Conference on Cloud Physics, 14th, Boston, MA, 7-11 July 2014. American Meteorological Society, Boston, MA, 2014, Abstract 94. |
129. Martin, Graeme; Mindock, Scott; Gumley, Liam; Huang, Allen; Heidinger, Andrew; Pavolonis, Michael; Calvert, Corey and Walther, Andi. Introducing CSPP GEO: A geostationary satellite data processing package for direct broadcast users. International TOVS Study Conference, 19th, ITSC-19, Jeju Island, Republic of Korea, 26 March-1 April 2014. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), Madison, WI, 2014, poster presentation. 1p,
Link to PDF |
| 130. 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. |
| 131. 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. |
| 132. 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. |
133. Stuefer, Martin; Egan, Sean; Webley, Peter; Grell, Georg; Freitas, Saulo; Pavolonis, Mike and Dehn, Jonathan. Online-coupled modeling of volcanic ash and SO2 dispersion with WRF-Chem. European Geosciences Union General Assembly 2014, Vienna, Austria, 27 April-2 May 2014. Abstracts. European Geosciences Union (EGU), Munich, Germany, 2014, Abstract 16167.
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| 134. 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. |
| 135. Gravelle, C.; Pavolonis, M.; Calvert, C. and Lindstrom, S. Transitioning the GOES-R fog and low stratus products from research to operations. 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. |
| 136. 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. |
137. Gultepe, I.; Kuhn, T.; Pavolonis, M.; Calvert, C.; Gurka, J.; Heymsfield, A. J.; Lui, P. S. K.; Zhou, B.; Ware, R.; Ferrier, B.; Milbrandt, J. and Bernstein, B. Ice fog in Arctic during FRAM-Ice Fog Project: Aviation and nowcasting applications. Bulletin of the American Meteorological Society, Volume 95, Issue 2, 2014, 211–226. Reprint # 7213.
Link to PDF |
138. Martin, Graeme; Mindock, Scott; Gumley, Liam; Huang, Allen; Heidinger, Andrew; Pavolonis, Michael; Calvert, Corey and Walther, Andi. Introducing CSPP GEO: A geostationary satellite data processing package for direct broadcast users. International TOVS Study Conference, 19th, ITSC-19, Jeju Island, Republic of Korea, 26 March-1 April 2014. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), Madison, WI, 2014, poster presentation. 1p,
Link to PDF |
| 139. 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. |
| 140. 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. |
141. Madankan, R.; Pouget, S.; Singla, P.; Bursik, M.; Dehn, J.; Jones, M.; Patra, A.; Pavolonis, M.; Pitman, E. B.; Singh, T. and Webley, P. Computation of probabilistic hazard maps and source parameter estimation for volcanic ash transport and dispersion. Journal of Computational Physics, Volume 271, 2014, pp.39-59. Reprint # 8033.
Link to PDF |
| 142. Gravelle, C.; Pavolonis, M.; Calvert, C. and Lindstrom, S. Transitioning the GOES-R fog and low stratus products from research to operations. 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. |
| 143. Stafanescu, E. R.; Patra, A. K.; Bursik, M. I.; Mandankan, R.; Pouget, S.; Jones, M.; Singla, P.; Singh, T.; Pitman, E. B.; Pavolonis, M.; Morton, D.; Webley, P. and Dehn, J. Temporal, probabilistic mapping of ash clouds using wind field stochastic variability and uncertain eruption source parameters: Example of the 14 April 2010 Eyjafjallajokull eruption. Journal of Advances in Modeling Earth Systems, Volume 6, Issue 4, 2014, 1173–1184. Reprint # 7344. |
| 144. 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. |
| 145. 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. |
| 146. Pavolonis, Michael J. Development of satellite remote sensing techniques for quantifying volcanic ash cloud properties. University of Wisconsin-Madison, Department of Atmospheric and Oceanic Sciences, Madison, WI, 2014. Call Number: UW MET Publication No.14.05.P1. |
147. Gultepe, I.; Kuhn, T.; Pavolonis, M.; Calvert, C.; Gurka, J.; Heymsfield, A. J.; Lui, P. S. K.; Zhou, B.; Ware, R.; Ferrier, B.; Milbrandt, J. and Bernstein, B. Ice fog in Arctic during FRAM-Ice Fog Project: Aviation and nowcasting applications. Bulletin of the American Meteorological Society, Volume 95, Issue 2, 2014, 211–226. Reprint # 7213.
Link to PDF |
| 148. Pavolonis, Mike. Utilization of GOES-R and JPSS for quantifying the horizontal extent of hazardous low clouds. GOES-R Science Seminar, Lanham, MD, 24 November 2014. National Oceanic and Atmospheric Administration (NOAA), 2014, abstract; PowerPoint presentation. |
149. 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 |
| 150. Vernier, Jean-Paul; Fairlie, T. D.; Murray, J. J. and Pavolonis, M. J. Dispersion and optical properties of the Kasatochi volconic plume based on the CALIPSO space-borne lidar. Conference on Environmental Information Processing Technologies, 30th, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract J6.4. |