Schwerdtfeger Library Publications Database

Results: Found 6542 records (displaying records 3976 through 4000)

3976. Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Madankan, R.; Morton, D.; Pavolonis, M.; Pitman, E. B.; Pouget, S.; Singh, T.; Singla, P.; Stefanescu, E. R. and Webley, P.. Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2013, Volume: 18, 2013, pp.1871-1880. Reprint # 8028.
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3977. 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.
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3978. 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.
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3979. Pauley, R. and Key, J.. Navy begins operational assimilation of direct broadcast MODIS winds. JCSDA Quarterly, Volume: 14, 2006, pp.1. Reprint # 6968.
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3980. Pauley, R. and Key, J.. Navy begins operational assimilation of direct broadcast MODIS winds. JCSDA Quarterly, Volume: 14, 2006, pp.1. Reprint # 6968.
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3981. Pavolonis, M. J. and Sieglaff, J.. AGU Fall Meeting, San Francisco, CA, 13-17 December 2010. Washington, DC, American Geophysical Union, 2010, Abstract V54C-01.

3982. Pavolonis, M. J. and Sieglaff, J.. New automated methods for detecting volcanic ash and retrieving its macro- and micro-physical properties. Washington, DC, American Geophysical Union, 2009, Abstract V23F-05.

3983. Pavolonis, M. J. and Sieglaff, J.. New automated methods for detecting volcanic ash and retrieving its macro- and micro-physical properties. Washington, DC, American Geophysical Union, 2009, Abstract V23F-05.

3984. Pavolonis, M. J. and Sieglaff, J.. AGU Fall Meeting, San Francisco, CA, 13-17 December 2010. Washington, DC, American Geophysical Union, 2010, Abstract V54C-01.

3985. 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. Washington, DC, American Geophysical Union, 2014, Abstract IN42A-02.

3986. 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. Washington, DC, American Geophysical Union, 2014, Abstract IN42A-02.

3987. 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.

3988. 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.

3989. 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.

3990. 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.

3991. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

3992. 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.

3993. 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.
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3994. 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.

3995. Pavolonis, Michael. Advances in determining cloud composition from infrared radiances: Application to advanced geostationary sensors. Washington, DC, Optical Society of America, 2009, Abstract HMB3.

3996. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

3997. Pavolonis, Michael. Advances in determining cloud composition from infrared radiances: Application to advanced geostationary sensors. Washington, DC, Optical Society of America, 2009, Abstract HMB3.

3998. 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.
PDF Document Link to PDF

3999. 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.

4000. 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.