2026. Pavolonis, Michael J. and Sieglaff, J.. New automated methods for detecting volcanic ash and retrieving its properties from infrared radiances. Boston, MA, American Meteorological Society, 2009, Abstract J15.1. 

2027. 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. Boston, MA, American Meteorological Society, 2012, Abstract 8B.6. 

2028. Pavolonis, Michael J.; Calvert, C. G. and Sieglaff, J.. New quantitative volcanic cloud and fog products for GOES-R. Boston, MA, American Meteorological Society, 2012, Abstract 4.3. 

2029. Pavolonis, Michael J.; Cintineo, J. L.; Sieglaff, J. and Lindsey, D. T.. The NOAA/CIMSS ProbSevere Model - integration of NWP, satellite lightning, and radar data for improved severe weather warnings. Boston, MA, American Meteorological Society, 2016, Abstract 8.2. 

2030. Pavolonis, Michael J.; Cintineo, John; Seiglaff, Justin; Lindsey, Dan and Cronce, Lee. ProbSevere - Recent upgrade and future outlook. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. 

2031. Pavolonis, Michael J.; Feltz, Wayne F. and Heidinger, Andrew K.. Improved satellite-based volcanic ash detection and height estimates. Boston, MA, American Meteorological Society, 2006, Paper P8.5. Reprint # 4841. 

2032. Pavolonis, Michael J.; Feltz, Wayne F.; Heidinger, Andrew K. and Gallina, Gregory M.. A daytime complement to the reverse absorption technique for improved automated detection of volcanic ash. Journal of Atmospheric and Oceanic Technology, Volume: 23, Issue: 11, 2006, pp.1422-1444. Reprint # 5242. 
 Link to PDF

2033. Pavolonis, Michael J.; Heidinger, Andrew K. and Sieglaff, Justin. Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements. Journal of Geophysical Research-Atmospheres, Volume: 118, Issue: 3, 2013, pp.1436-1458. Reprint # 6961. 
 Link to PDF

2034. Pavolonis, Michael J.; Heidinger, Andrew K. and Uttal, Taneil. Daytime global cloud typing from AVHRR and VIIRS: Algorithm description, validation, and comparisons. Journal of Applied Meteorology, Volume: 44, Issue: 6, 2005, pp.804-826. Reprint # 4461. 
 Link to PDF

2035. Pavolonis, Michael J.; Key, Jeffrey R. and Cassano, John J.. A study of the Antarctic surface energy budget using a polar regional atmospheric model forced with satellite-derived cloud properties. Monthly Weather Review, Volume: 132, Issue: 2, 2004, pp.654-661. Reprint # 3679. 
 Link to PDF

2036. Pavolonis, Michael J.; Key, Jeffrey R. and Wang, Xuanji. Antarctic cloud radiative forcing at the surface estimated from the ISCCP D2 and AVHRR Polar Pathfinder data sets, 1985-1993. Piscataway, NJ, Institute of Electrical and Electronic Engineers, Inc. (IEEE), 2002, pp.3237-3239. Reprint # 3233. 

2037. Pavolonis, Michael J.; Sieglaff, J. and Cintineo, J. L.. Automated utilization of weather satellites for global mitigation of aviation related volcanic hazards. Boston, MA, American Meteorological Society, 2016, Abstract J.3.2. 

2038. Pavolonis, Michael J.; Sieglaff, J. and Heidinger, A. K.. Infrared derived microphysical properties of deep convection. Boston, MA, American Meteorological Society, 2010, Abstract P1.12. 

2039. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Spectrally Enhanced Cloud Objects - A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 2. Cloud object analysis and global application. Journal of Geophysical Research-Atmospheres, Volume: 120, Issue: 15, 2015, pp.7842-7870. Reprint # 7478. 
 Link to PDF

2040. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Spectrally Enhanced Cloud Objects - A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 1. Multispectral analysis. Journal of Geophysical Research-Atmospheres, Volume: 120, Issue: 15, 2015, pp.7813-7841. Reprint # 7477. 
 Link to PDF

2041. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Automated detection explosive volcanic eruptions using satellite-derived cloud vertical growth rates. Earth and Space Science, Volume: 5, Issue: 12, 2018, pp.903-928. Reprint # 8356. 
 Link to PDF

2042. Pavolonis, Michael; Calvert, Corey; Lindstrom, Scott and Gravelle, Chad. Introduction of a new suite of Fog/Low Stratus (FLS) products into NWS operations via the satellite proving ground. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

2043. Pavolonis, Michael; Hartun, Daniel C. and Sieglaff, Justin. Probabilistic forecasting of severe convection using the temporal evolution of satellite-derived deep convective cloud properties. Raleigh, NC, National Weather Association, 2011, Abstract P1.29. 

2044. Pavolonis, Michael; Sieglaff, Justin and Cintineo, John. AWG volcanic ash products. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2014, PowerPoint presentation. 64 slides. 
 Link to PPT

2045. Pavolonis, Michael; Sieglaff, Justin and Cintineo, John. Automated volcanic cloud identification, tracking, and characterization using next generation meteorological satellites. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 270. 

2046. Pavolonis, Michael; Sieglaff, Justin and Cintineo, John. The development of JPSS volcanic cloud applications. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation. 48 slides. 
 Link to PDF

2047. Pavolonis, Michael; Sieglaff, Justin and Parker, Andrew. Quantitative volcanic ash monitoring from GOES and GOES-R. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 17. 
 Link to Abstract

2048. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John and Bellon, Bill. The Volcanic Cloud Analysis Tool (VOLCAT). National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation. 

2049. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John and Bellon, Bill. The Volcanic Cloud Analysis Toolkit (VOLCAT). Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2015, PowerPoint presentation. 

2050. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John; Calvert, Corey; Hubbard, Shane and Bellon, Bill. Multi-sensor satellite algorithm development for volcanic and fog hazards. National Oceanic and Atmospheric Administration (NOAA), 2014, PowerPoint presentation.