5526. Pavolonis, M. J.; Heidinger, A. K. and Hutchinson, K. D.. Improved automated cloud classification and cloud property continuity studies for the Visible Infrared Imager Radiometer Suite (VIIRS). Washington, DC, American Geophysical Union, 2005, Abstract A43B-0077. 

5527. Pavolonis, M.; Feltz, W.; Ackerman, S. and Richards, M.. Towards operational satellite-based detection and short term nowcasting of volcanic ash. Paris, France, Meteo France, 2005, PowerPoint presentation. 

5528. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 

5529. Pavolonis, Michael. The temporal evolution of satellite-derived deep convective cloud properties. Munich, Germany, European Geosciences Union (EGU), 2011, Abstract 2754. 
 Link to Abstract

5530. Pavolonis, Michael. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for cloud type and cloud phase. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.P2. 
 Link to PDF

5531. Pavolonis, Michael. Using infrared satellite measurements to identify and track volcanic ash clouds that exceed aircraft exposure thresholds: Capabilities and limitations. Munich, Germany, European Geosciences Union (EGU), 2011, Abstract 2750. 
 Link to Abstract

5532. Pavolonis, Michael. Differing regional capabilities in satellite-based volcanic ash cloud detection. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2011, Paper CGMS-39, NOAA-WP-24. 5p. Reprint # 7784. 

5533. Pavolonis, Michael. Advances in determining cloud composition from infrared radiances: Application to advanced geostationary sensors. Washington, DC, Optical Society of America, 2009, Abstract HMB3. 

5534. Pavolonis, Michael and Calvert, Corey. GOES-R AWG aviation team: Fog/low cloud detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 

5535. Pavolonis, Michael and Calvert, Corey. GOES-R AWG Aviation Team: Fog/low cloud detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation. 

5536. Pavolonis, Michael and Heidinger, A. K.. The retrieval of cloud height and emissivity from passive measurements: Comparison of techniques. Boston, MA, American Meteorological Society, 2006, Abstract P4.6. 

5537. Pavolonis, Michael and Parker, Andrew. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for SO2 detection. Version 1.0. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2010. Call Number: UW SSEC Publication No.10.09.P3. 
 Link to PDF

5538. Pavolonis, Michael and Sieglaff, Justin. Using the GOES-R AWG volcanic ash algorithm to track Eyjafjallajokull volcanic ash: Impacts on operations and research. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation. 

5539. Pavolonis, Michael and Sieglaff, Justin. GOES-R AWG Aviation Team: Volcanic ash - detection and height. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation. 

5540. Pavolonis, Michael and Sieglaff, Justin. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for volcanic ash (detection and height). Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.P1. 
 Link to PDF

5541. Pavolonis, Michael and Sieglaff, Justin. New automated methods for detecting volcanic ash and determining mass loading from infrared radiances: Looking towards the GOES-R era. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2008, Abstract 1. 
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5542. Pavolonis, Michael J.. ProbSevere a new tool for NWS servere weather warning operations. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation. 

5543. Pavolonis, Michael J.. From 'Big Data' to information: Volcanic, convective, and ceiling/visibility applications for OCONUS operations. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. 

5544. Pavolonis, Michael J.. New automated methods for detecting volcanic ash and determining mass loading from infrared radiances: Looking towards the NPOESS and GOES-R era's. Boston, MA, American Meteorological Society, 2008, Abstract P3.12. 

5545. Pavolonis, Michael J.. Advances in extracting cloud composition information from spaceborne infrared radiances - A robust alternative to brightness temperatures, part 1: Theory. Journal of Applied Meteorology and Climatology, Volume: 49, Issue: 9, 2010, pp.1992-2012. Reprint # 6348. 
 Link to PDF

5546. Pavolonis, Michael J.. Cloud phase determination using infrared absorption optical depth ratios. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2011, abstract. 

5547. Pavolonis, Michael J.. GOES-R user testimonials: Research perspective. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation. 
 Link to PDF

5548. Pavolonis, Michael J. and Heidinger, Andrew K.. Preliminary global cloud comparisons from the AVHRR, MODIS, and GLAS: Cloud amount and cloud overlap. Bellingham, WA, SPIE-International Society for Optical Engineering, 2005, pp.235-244. Reprint # 4195. 

5549. Pavolonis, Michael J. and Heidinger, Andrew K.. Advancements in identifying cirrus and multilayered cloud systems from operational satellite imagers at night. Bellingham, WA, SPIE-International Society for Optical Engineering, 2005, pp.225-234. Reprint # 4196. 

5550. Pavolonis, Michael J. and Heidinger, Andrew K.. Daytime cloud overlap detection from AVHRR and VIIRS. Journal of Applied Meteorology, Volume: 43, Issue: 5, 2004, pp.762-778. Reprint # 3752. 
 Link to PDF