5551. Pavolonis, Michael J. and Heidinger, Andrew K.. A comparison of HIRS cloud top pressure and AVHRR-derived cloud overlap. Melbourne, Australia, Bureau of Meteorology Research Centre, 2003, poster presentation. 1p. 
 Link to PDF

5552. Pavolonis, Michael J. and Heidinger, Andrew K.. Cloud overlap detection for HIRS and AVHRR. Melbourne, Australia, Bureau of Meteorology Research Centre, 2003, pp.648-653. Reprint # 4479. 
 Link to PDF

5553. Pavolonis, Michael J. and Heidinger, Andrew K.. Cloud overlap detection and analysis in the PATMOS-x dataset. Madison, WI, University of Wisconsin, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2005. PowerPoint presentation. 

5554. Pavolonis, Michael J. and Heidinger, Andrew K.. A comparison of AVHRR and HIRS global cloud types. Madison, WI, University of Wisconsin-Madison, 2004, pp.109. abstract. 
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5555. Pavolonis, Michael J. and Key, J. R.. Simulation of the Antarctic climate using the Arctic Region Climate System Model (ARCSYM) and the AVHRR Polar Pathfinder (APP) data set. Boston, MA, American Meteorological Society, 2003, Abstract P1.5. 

5556. Pavolonis, Michael J. and Key, Jeffrey R.. Antarctic cloud radiative forcing at the surface estimated from the AVHRR Polar Pathfinder and ISCCP D1 datasets, 1985-93. Journal of Applied Meteorology, Volume: 42, Issue: 6, 2003, pp.827-840. Reprint # 3448. 
 Link to PDF

5557. Pavolonis, Michael J. and Key, Jeffrey R.. The influence of Antarctic cloud and surface properties on cloud radiative forcing at the surface. Boston, MA, American Meteorological Society, 2001, pp.172-175. Reprint # 2963. 

5558. Pavolonis, Michael J. and Sieglaff, J.. From GOES and POES to GOES-R and JPSS: Improvements in operational volcanic cloud monitoring. Boston, MA, American Meteorological Society (AMS), 2011, Abstract 564. 

5559. Pavolonis, Michael J. and Sieglaff, J.. Advances in volcanic cloud satellite remote sensing. Boston, MA, American Meteorological Society, 2010, Abstract 8.6. 

5560. 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. 

5561. 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. 

5562. 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. 

5563. 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. 

5564. 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. 

5565. 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. 

5566. 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

5567. 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

5568. 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

5569. 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

5570. 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. 

5571. 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. 

5572. Pavolonis, Michael J.; Sieglaff, J. and Cintineo, J. L.. Volcanic cloud identificatin, tracking, and characterization with next generation satellites. Boston, MA, American Meteorological Society, 2016, Abstract 9.3. 

5573. 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. 

5574. 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

5575. 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