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 839 records (displaying records 51 through 75)

51. Bedka, Kristopher; Wang, C.; Dworak, R.; Feltz, W. and Carey, L.. Applications of a satellite-based objective overshooting convective cloud top detection product. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

52. Bedka, Kristopher; Wang, Cecilia, Wang; Rogers, Ryan; Carey, Larry; Feltz, Wayne and Kanak, Jan. Analysis of the co-evolution of total lightning, ground-based radar-derived fields, and GOES-14 1-minute super rapid scan satellite observations of deep convective cloud tops. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation. 

53. Bedka, S.; Minnis, P.; Heck, P. W.; Yi, Y.; Khaiyer, M. M.; Springenberg, D. A. and Abel, S. J.. Validation of nighttime cloud optical and microphysical properties for GOES-R. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 34. 
Abstract Document Link to Abstract

54. Bedka, Sarah T.; Feltz, Wayne F.; Schreiner, Anthony J. and Holz, Robert E.. Validation of satellite derived conus cloud top pressure using Cloud Physics Lidar data from the ARTeC field campaign. Boston, MA, American Meteorological Society, 2006, Paper P1.6. Reprint # 4880. 

55. Berger, Howard; Velden, C.; Wanzong, S. and Daniels, J.. Assessing the 'expected error' as a potential new quality indicator for atmospheric motion vectors. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2008, unpaged. Reprint # 5841. 

56. Beven, Jack; Brennan, Michael; Cobb, Hugh; DeMaria, Mark; Knaff, John; Velden, Christopher; Dunion, Jason; Jedlovec, Gary and Fuell, Kevin. The 2011 GOES-R proving ground activities at the National Hurricane Center. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2012, PowerPoint presentation. 

57. Beven, John L. II; Brennan, Michael; DeMaria, Mark; Knaff, John and Velden, Chris. GOES-R Proving Ground activities at the National Hurricane Center. Raleigh, NC, National Weather Association, 2011, abstract. 

58. Beven, John L. II; DeMaria, M. and Velden, C.. Satellite meteorology of tropical cyclones in the GOES-R era. Boston, MA, American Meteorological Society, 2008, Abstract KS1.1. 

59. Beven, John L. II; Velden, C. S. and Olander, T. L.. Possible impacts of GOES-R temporal resolution on tropical cyclone intensity estimates. Boston, MA, American Meteorological Society, 2008, Abstract P1.67. 

60. Beven. Jack; Brennan, Michale; DeMariea, Mark; Knaff, John; Velden, Christopher and Dunion, Jason. The 2010 GOES-R Proving Ground at the National Hurricane Center. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2011, PowerPoint presentation. 

61. Bikos, Dan and Lindstrom, Scott. Status of recent/near future VISIT/SHyMet as it relates to the Satellite Foundational Course for GOES-R (SatFC-G). National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. 

62. Bikos, Dan; Connell, Bernie; Szoke, Ed; Lindstrom, Scott and Bachmeier, Scott. The SHyMet GOES-R instruments and products, training course, and other related satellite training for operational forecasting. Raleigh, NC, National Weather Association, 2013, Abstract P2.53. 

63. Bikos, Dan; Lindsey, Daniel T.; Otkin, Jason; Sieglaff, Justin; Grasso, Louie; Siewert, Chris; Correia, James Jr.; Coniglio, Michael; Rabin, Robert; Kain, John S. and Dembek, Scott. Synthetic satellite imagery for real-time high-resolution model evaluation. Weather and Forecasting, Volume: 27, Issue: 3, 2012. Reprint # 6737. 
PDF Document Link to PDF

64. Bikos, Dan; Szoke, Edward J.; Lindstrom, Scott; Bernie, Connell and Mostek, Tony. VISIT/SHyMet contributions to the satellite foundational course for GOES-R (SatFC-G). Raleigh, NC, National Weather Association, 2016, PowerPoint presentation. 

65. Borbas, Eva; Knuteson, R. O.; Seemann, S. W.; Moy, L.; Greenwald, T.; Tobin, D. and Huang, J. L.. The UW-CIMSS global land surface infrared emissivity database for GOES-R ABI simulation studies. Boston, MA, American Meteorological Society, 2009, Abstract JP2.5. 

66. Bresky, Wayne; Daniels, J.; Bailey, A.; Allegrino, A.; Wanzong, S. and Velden, S.. Utilizing the full potential of the Advanced Himawari Imager (AHI) high resolution visible imagery for deriving low level atmospheric winds. Boston, MA, American Meteorological Society, 2017, Abstract 1334. 

67. Bresky, Wayne; Daniels, Jaime; Bailey, Andrew; Allegrino, Americo; Wanzong, Steve and Velden, Chris. Using data for the Advanced Himawari Imager (AHI) as a proxy to assess the performance of the GOES-R derived motion winds algorithm. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2016, poster presentation. 1p. 
PDF Document Link to PDF

68. Brunner, Jason C.; Ackerman, Steven A.; Bachmeier, A. Scott and Rabin, Robert M.. A quantitative analysis of the enhanced-V feature in relation to severe weather. Weather and Forecasting, Volume: 22, Issue: 4, 2007, pp.839-852. Reprint # 5425. 
PDF Document Link to PDF

69. Brunner, Jason C.; Bedka, K.; Dworak, R.; Feltz, W. F. and Cronce, L. M.. GOES-R overshooting top and enhanced-V signature detection product objective validation efforts. Boston, MA, American Meteorological Society, 2012, Abstract 14B.5. 

70. Brunner, Jason C.; Bedka, K.; Feltz, W. F.; Dworak, R. and Cronce, L. M.. An update on the GOES-R ABI overshooting top and enhanced-V anvil thermal couplet detection algorithm. Boston, MA, American Meteorological Society, 2010, Abstract P1.5. 

71. Brunner, Jason C.; Feltz, Wayne F.; Ackerman, Steven A.; Moses, John F. and Robin, Robert M.. Toward an objective enhanced-V detection algorithm. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, unpaged. Reprint # 5586. 

72. Brunner, Jason C.; Pierce, B.; Lenzen, A. and Szykman, J.. GOES-R AWG visibility and the visibility-fires analysis over western United States for 2007-2008. Boston, MA, American Meteorological Society, 2013, Abstract 328. 

73. Brunner, Jason; Feltz, Wayne; Moses, John; Rabin, Robert and Ackerman, Steven. Toward an objective enhanced-V detection algorithm. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, PowerPoint presentation. 
PDF Document Link to PDF

74. Brunner, Jason; Pierce, R. Bradley and Lenzen, Allen. GOES-R AWG visibility retrieval. Raleigh, NC, National Weather Association, 2012, Abstract P1.11. 

75. Bysal, Hyre; Buford, Steven; Schmit, Timothy J.; Matthews, Grant and Wu, Xiangqian Fred. GOES imager stray light correction. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011. 

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