76. Daniels, Jaime; Bresky, W.; Wanzong, S.; Bailey, A.; Velden, C.; Allegrino, A. and Li, X.. Error characterization of Atmospheric Motion Vectors derived via a nested tracking algorithm developed for the GOES-R Advanced Baseline Imager (ABI). Boston, MA, American Meteorological Society, 2014, Abstract 679.
77. Daniels, Jaime; Bresky, Wayne; Bailey, Andew; Wanzong, Steve and Velden, Chris. Atmospheric Motion Vectors derived via a new nested tracking algorithm developed for the GOES-R Advanced Baseline Imager (ABI). US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation.
78.
Daniels, Jaime; Bresky, Wayne; Bailey, Andrew; Allegrino, Americo; Wanzong, Steven and Velden, Chris. Use of GOES-R Advanced Baseline Imager (ABI) proxy data to assess the performance of the GOES-R winds algorithm. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2016. Reprint # 8205.
Link to PDF
79.
Daniels, Jaime; Bresky, Wayne; Bailey, Andrew; Wanzong, Steve and Velden, Chris. Atmospheric Motion Vectors derived via a New Nested tracking algorithm developed for the GOES-R Advanced Baseline Imager (ABI). Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012, PowerPoint presentation. 42 slides.
Link to PDF
80.
Daniels, Jaime; Bresky, Wayne; Bailey, Andrwe; Allegrino, Americo; Wanzong, Steve and Velden, Chris. Introducing Atmospheric Motion Vectors derived from the GOES-16 Advanced Baseline Imager (ABI). Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2018, PowerPoint presentation. 35 slides.
Link to PDF
81. Daniels, Jaime; Bresky, Wayne; Velden, Chris and Wanzong, Steve. Current state of Atmospheric Motion Vector (AMV) algorithm development at NOAA/NESDIS in preparation for the future GOES-R Advanced Baseline Imager (ABI). Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2009, Paper CGMS-37, NOAA-WP-22. 7p. Reprint # 7789.
82. Daniels, Jaime; Bresky, Wayne; Wanzong, Steve; Bailey, Andrew and Velden, Chris. Atmospheric motion vectors derived via a new nested tracking algorithm developed for the GOES-R Advanced Baseline Imager. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation.
83. Daniels, Jaime; Bresky, Wayne; Wanzong, Steve; Bailey, Andrew and Velden, Christopher. Atmospheric Motion Vectors derived via a new nested tracking algorithm developed for the GOES-R Advanced Baseline Imager (ABI). Darmstadt, Germany, EUMETSAT, 2012. Reprint # 6813.
84.
Daniels, Jaime; Bresky, Wayne; Wanzong, Steve; Bailey, Andy; Allegrino, Americo and Velden, Chris. Derived motion winds: Pre-launch proxy product generation and validation activities. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2014, PowerPoint presentation. 38 slides.
Link to PPT
85.
Daniels, Jaime; Bresky, Wayne; Wanzong, Steve; Velden, Chris and Berger, Howard. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for derived motion winds. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.D1.
Link to PDF
86.
Daniels, Jaime; Bresky, Wayne; Wanzong, Steven; Bailey, Andrew and Velden, Chris. NESDIS' Atmospheric Motion Vector (AMV) nested tracking algorithm: Exploring its performance. Darmstadt, Germany, EUMETSAT, 2014, PowerPoint presentation. 47 slides.
Link to PDF
87. Daniels, Jaime; Bresky, Wayne; Wanzong, Steven; Bailey, Andrew and Velden, Chris. NESDIS' Atmospheric Motion Vector (AMV) nested tracking algorithm: Exploring its performance. Darmstadt, Germany, EUMETSAT, 2014. Reprint # 7653.
88. Daniels, Jaime; Bresky, Wayne; Wanzong, Steven; Bailey, Andrew and Velden, Chris. Atmospheric Motion Vectors derived from the future GOES-R Advanced Baseline Imager (ABI): Methods and error characteristics. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.
89.
Daniels, Jaime; Velden, Chris; Genkova, Iliana; Wanzong, Steve and Berger, Howard. Algorithm and software development of Atmospheric Motion Vector products for the future GOES-R Advanced Baseline Imager (ABI). Madison WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2008, PowerPoint presentation. 37 slides.
Link to Abstract
90. Daniels, Jaime; Velden, Christopher; Bresky, Wayne and Irving, Antonio. NOAA/NESDIS operational satellite wind product system: A status report. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2004, PowerPoint presentation.
91. Deb, S. K.; Wanzong, Steve; Velden, C. S.; Kaur, Inderpreet; Kishtawal, C. M.; Pal, P.K. and Menzel, W. P.. Height assignment improvement in Kalpana-1 Atmospheric Motion Vectors. Journal of the Indian Society of Remote Sensing, 2014, doi:10.1007/s1254-013-0278-z. Reprint # 7287.
92. DeMaria, Mark; Beven, Jack; Brennan, Michael; Cobb, Hugh; Folmer, M.; Knaff, J.; Schumacher, A.; Miller, S.; Brummer, R.; Chirokova, G.; Velden, C.; Monet, S.; Dunion, J.; Kuell, K.; Hawkins, J.; Weng, F.; Tallapragada, V. and Cangialosi, John. GOES-R and JPSS products and high-impact tropical weather. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2014, PowerPoint presentation.
93. DeMaria, Mark; Beven, Jack; Brennan, Michael; Cobb, Hugh; Knaff, John; Schumacher, Andrea; Velden, Christopher; Dunion, Jason; Jedlovec, Gary; Fuell, Kevin and Folmer, Michael. The 2013 Satellite 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, 2013, abstract.
94. DeMaria, Mark; Knaff, John; Weng, Fuzhong; Velden, Chris; Li, Jun; Rozoff, Chris; Chirokova, Galina; DeMaria, Robert; Beven, Jack and Brrennan, Michael. Tropical storms/hurricanes science achievements. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.
95. DeMaria, Mark; Velden, Christopher S.; Demuth, Julie L.; Knaff, John A.; Kidder, Stanley Q. and Brueske, Kurt. An overview of tropical cyclone applications of Advanced Microwave Sounder Unit (AMSU) data. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorological Services and Supporting Research, 2001, (B-119)-(B-123). Reprint # 3180.
96. DeMaria, Mark; Weng, Fuzhong; Li, Jun; Velden, Christopher and Vukicevic, Tomislava. Joint JPSS-GOES-R tropical cyclone satellite data assimilatin discussion. National Oceanic and Atmospheric Administration (NOAA), 2013, abstract and PowerPoint presentation.
97. DeMaria, Mark; Zehr, Raymond M.; Velden, Christopher S. and Horsfall, Fiona M.. Further improvements to the statistical hurricane intensity prediction scheme using GOES imagery. Boston, MA, American Meteorological Society, 2000, pp.240-241. Reprint # 3211.
98. Demuth, Julie L.; DeMaria, Mark; Knaff, John A.; Velden, Christopher S. and Brueske, Kurt F.. An evaluation of CIMSS and CIRA AMSU tropical cyclone intensity estimation algorithms. Boston, MA, American Meteorological Society, 2002, pp.27-28. Reprint # 3848.
99.
Doyle, James D.; Moskaitis, Jonathan R.; Feldmeier, Joel W.; Ferek, Ronald J.; Beaubien, Mark; Bell, Michael M.; Cecil, Daniel L.; Creasey, Robert L.; Duran, Patrick; Elsberry, Russell L.; Komaromi, William A.; Molinari, John; Ryglicki, David R.; Stern, Daniel P.; Velden, Christopher S.; Wang, Xuguang; Allen, Todd; Barrett, Bradford S.; Black, Peter G.; Dunion, Jason P.; Emanuel, Kerry A.; Harr, Patrick A.; Harrison, Lee; Hendricks, Eric A.; Herndon, Derrick; Jeffries, William Q.; Majumdar, Sharanya J.; Morre, James A.; Pu, Zhaoxia; Rogers, Robert F.; Sanabia, Elizabeth R.; Tripoli, Gregory J. and Zhang, Da-Lin. A view of tropical cyclones from above: The Tropical Cyclone Intensity experiment. Bulletin of the American Meteorological Society, Volume: 98, Issue: 10, 2017, pp.2113-2134. Reprint # 8191.
Link to PDF
100. Dunion, J. P. and Velden, C. S.. The impact of the Saharan air layer on Atlantic tropical cyclone activity. Washington, DC, American Geophysical Union, 2002, Abstract GC51B-08.