We are working to migrate this publications database, and the current listing does not reflect the most recent publications available. Thank you for your patience, and please reach out to library@ssec.wisc.edu with any questions.


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Results: Found 3271 records (displaying records 1976 through 2000)

1976. Otkin, Jason A.; Greenwald, T.; Sieglaff, J.; Gunshor, M. M.; Bah, K.; Schmit, T. J.; Huang, A. and Wanzong, S.. High-resolution simulated ABI datasets used for GOES-R research activities. Boston, MA, American Meteorological Society, 2009, Abstract JP1.6. 

1977. Otkin, Jason; Greenwald, Tom; Sieglaff, Justin; Gunshor, Mat; Bah, Kaba; Schmit, Tim; Huang, Allen and Wanzong, Steve. High-resolution simulated ABI datasets used for GOES-R research and demonstration activities. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 45. 
Abstract Document Link to Abstract

1978. Overland, J.; Bhatt, U.; Key, J.; Liu, Y.; Walsh, J. and Wang, M.. State of the climate in 2011: Air temperature, atmospheric circulation, and cloudsBulletin of the American Meteorological Society, Volume: 93, Issue: 7, 2012, S127-S129. Reprint # 6849. 
PDF Document Link to PDF

1979. Overpeck, J. T.; Sturm, M.; Francis, J. A.; Perovich, D. K.; Serreze, M. C.; Benner, R.; Carmack, E. C.; Chapin, F. S. III; Gerlach, S. C.; Hamilton, L. C.; Hinzman, L. D.; Holland, M.; Huntington, H. P.; Key, J. R.; Lloyd, A. H.; MacDonald, G. M.; McFadden, J.; Noone, D.; Prowse, T. D.; Schlosser, P. and Vorusmarty, C.. Arctic system on trajectory to new, seasonally ice-free stateEOS, Volume: 86, Issue: 34, 2005, pp.309-313. Reprint # 5152. 
PDF Document Link to PDF

1980. Pagowski, Mariusz; Pierce, R. B.; Grell, G. A.; Ahmadov, R. and McKeen, S. A.. Assimilation of VIIRs AOD to improve smoke forecasts over the western United States. Boston, MA, American Meteorological Society, 2018, Abstract 9.4. 

1981. Pan, L. L.; Atlas, E. L.; Salawitch, R. J.; Honomichl, S. B.; Bresch, J. F.; Randel, W. J.; Apel, E. C.; Hornbrook, R. S.; Weinheimer, A. J.; Anderson, C. D.; Andrews, S. J.; Baidar, S.; Beaton, S. P.; Campos, T. L.; Carpenter, L. J.; Chen, D.; Dix, B.; Donets, V.; Hall, S. R.; Hanisco, T. F.; Homeyer, C. R.; Huey, L. G.; Jensen, J. B.; Kaser, L.; Kinnison, D. E.; Koenig, T. K.; Lamarque, J.-F.; Liu, C.; Luo, J.; Luo, Z. J.; Montzka, D. D.; Nicely, J. M.; Pierce, R. B.; Riemer, D. D.; Robinson, T.; Romashkin, P.; Saiz-Lopez, A.; Schauffler, S.; Shieh, O.; Stell, M. H.; Ullmann, K.; Vaughan, G.; Volkamer, R. and Wolfe, G.. The Convective Transport of Active Species in the Tropics (CONTRAST) experimentBulletin of the American Meteorological Society, Volume: 98, Issue: 1, 2017. Reprint # 7860. 
PDF Document Link to PDF

1982. Paris, Cecil A.. NOAA polar satellite calibration: A system description. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), 1994. 36p., appendices. Call Number: C 55.13:NESDIS 77. 

1983. Park, C. and Heidinger, A. K.. Nested-observation error covariance matrix in 1dVAR approach. Washington, DC, American Geophysical Union, 2010, Abstract IN21C-1338. 

1984. Parker, A. C. and Pavolonis, M. J.. The GOES-R approach to imager based sulfur dioxide detection. Washington, DC, American Geophysical Union, 2009, Abstract V31A-1950. 

1985. Parrish, D. D.; Allen, D. T.; Bates, T. S.; Estes, M.; Fehsenfeld, F. C.; Feingold, G.; Ferrare, R.; Hardesty, R. M.; Meagher, J. F.; Nielsen-Gammon, J. W.; Pierce, R. B.; Ryerson, T. B.; Seinfeld, J. H. and Willisms, E. J.. Overview of the Second Texas Air Quality Study (TexAQS II) and the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS)Journal of Geophysical Research-Atmospheres, Volume: 114, 2009, doi:10.1029/2009JD011842. Reprint # 6859. 
PDF Document Link to PDF

1986. Partain, Philip T.; Heidinger, Andrew K. and Stephen, Graeme L.. High spectral resolution atmospheric radiative transfer: Application of the equivalence theoremJournal of Geophysical Research-Atmospheres, Volume: 105, 2000, pp.2163-2178. Reprint # 4677. 

1987. Patra, A. K.; Madankan, R.; Stafanescu, E. R.; Pouget, S.; Bursik, M. I.; Webley, P.; Pitman, E. B.; Jones, M.; Singla, P.; Singh, T.; Dehn, J.; Morton, D. and Pavolonis, M. J.. A framework for uncertainty quantification for volcanic ash dispersion phenomena. Washington, DC, American Geophysical Union, 2013, Abstract V23B-2809. 

1988. 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 estimationProcedia Computer Science: International Conference on Computational Sciences, ICCS 2013, Volume: 18, 2013, pp.1871-1880. Reprint # 8028. 
PDF Document Link to PDF

1989. 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 analysisProcedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume: 9, 2012, pp.1090-1099. Reprint # 8028. 
PDF Document Link to PDF

1990. Pauley, R. and Key, J.. Navy begins operational assimilation of direct broadcast MODIS windsJCSDA Quarterly, Volume: 14, 2006, pp.1. Reprint # 6968. 
PDF Document Link to PDF

1991. 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. 

1992. 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. 

1993. 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. 

1994. 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. 

1995. 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. 

1996. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 

1997. 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

1998. 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. 

1999. Pavolonis, Michael. Advances in determining cloud composition from infrared radiances: Application to advanced geostationary sensors. Washington, DC, Optical Society of America, 2009, Abstract HMB3. 

2000. 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.