Schwerdtfeger Library Publications Database

Results: Found 17234 records (displaying records 10976 through 11000)

10976. Pauley, R. and Key, J.. Navy begins operational assimilation of direct broadcast MODIS winds. JCSDA Quarterly, Volume: 14, 2006, pp.1. Reprint # 6968.
PDF Document Link to PDF

10977. 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.

10978. 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.

10979. 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.

10980. 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.

10981. 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.

10982. 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.

10983. 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.

10984. 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.

10985. 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.

10986. 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.

10987. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

10988. 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.

10989. Pavolonis, Michael. The temporal evolution of satellite-derived deep convective cloud properties. Munich, Germany, European Geosciences Union (EGU), 2011, Abstract 2754.
Abstract Document Link to Abstract

10990. 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

10991. 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.
Abstract Document Link to Abstract

10992. 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.

10993. Pavolonis, Michael. Advances in determining cloud composition from infrared radiances: Application to advanced geostationary sensors. Washington, DC, Optical Society of America, 2009, Abstract HMB3.

10994. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

10995. Pavolonis, Michael. Advances in determining cloud composition from infrared radiances: Application to advanced geostationary sensors. Washington, DC, Optical Society of America, 2009, Abstract HMB3.

10996. Pavolonis, Michael. The temporal evolution of satellite-derived deep convective cloud properties. Munich, Germany, European Geosciences Union (EGU), 2011, Abstract 2754.
Abstract Document Link to Abstract

10997. 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

10998. 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.
Abstract Document Link to Abstract

10999. 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.

11000. 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.