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 8662 records (displaying records 1226 through 1250)

1226. Daniels, Jaime.; Velden, Chris; Menzel, W. Paul and Key, Jeff. 2001/2002 report on NOAA/NESDIS satellite-derived winds. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2003, Paper USA-WP-30. Reprint # 3565. 

1227. Daniels, Jaime; Borde, Regis and Wanzong, Steve. Introducing actions/recommendations from CGMS to the 14th International Winds Workshop. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2018, PowerPoint presentation. 15 slides. 
PDF Document Link to PDF

1228. Daniels, Jaime; Bresky, W.; Wanzong, S. and Velden, C.. Atmospheric Motion Vectors derived via a new nested tracking algorithm developed for the GOES-R Advanced Baseline Imager (ABI). Boston, MA, American Meteorological Society, 2013, Abstract 679. 

1229. Daniels, Jaime; Bresky, W.; Wanzong, S.; Bailey, A.; Velden, C. S. and Allegrino, A.. NESDIS' Atmospheric Motion Vector (AMV) nested tracking algorithm: Exploring its performance. Boston, MA, American Meteorological Society, 2015, Abstract 160. 

1230. 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. 

1231. 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. 

1232. 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. 
PDF Document Link to PDF

1233. 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. 
PDF Document Link to PDF

1234. 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. 
PDF Document Link to PDF

1235. Daniels, Jaime; Bresky, Wayne; Key, Jeff/.Wanzong, Steve and Bailey, Andrew. Visible Infrared Imaging Radiometer Suite (VIIRS) polar winds product: Algorithm Theoretical Basis Document, verswion 1.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2014. Call Number: UW SSEC Publication No.14.12.D1. 
PDF Document Link to PDF

1236. 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. 

1237. Daniels, Jaime; Bresky, Wayne; Velden, Chris; Key, Jeff; Santek, David and Menzel, W. Paul. 2004/2005 report on NOAA/NESDIS satellite-derived winds. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2006, Paper NOAA-WP-15. 12p. Reprint # 5705. 

1238. Daniels, Jaime; Bresky, Wayne; Velden, Christopher and Bedka, Kristopher. Characterization of tracer height assignment errors: A recurring theme for atmospheric motion vectors. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2006, unpaged. Reprint # 5266. 

1239. Daniels, Jaime; Bresky, Wayne; Velden, Christopher and Irving, Antonio. Recent advances to the operational GOES wind processing systems at NOAA/NESDIS. Boston, MA, American Meteorological Society, 2000, pp.24-27. Reprint # 2653. 

1240. 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. 

1241. 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. 

1242. 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. 
PPT Document Link to PPT

1243. Daniels, Jaime; Bresky, Wayne; Wanzong, Steve; Velden, Chris and Bailey, Andy. GOES-R AWG product validation tool devleopment: Derived motion winds. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 30 slides. 
PPT Document Link to PPT

1244. 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. 
PDF Document Link to PDF

1245. Daniels, Jaime; Bresky, Wayne; Wanzong, Steve; Velden, Chris; Bailey, Andy and Olander, Tim. GOES-R AWG product validation tool development: Winds team products - derived motion winds, hurricane intensity. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 

1246. 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. 
PDF Document Link to PDF

1247. 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. 

1248. 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. 

1249. Daniels, Jaime; Jung, Jim; Nebuda, Sharon; Santek, Dave and Bresky, Wayne. Developing assimilation techniques for Atmospheric Motion Ventors derived via a new nested tracking algorithm derived for the GOES-R Advanced Baseline Imager (ABI). US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation. 

1250. Daniels, Jaime; Jung, Jim; Nebuda, Sharon; Santek, Dave and Bresky, Wayne. Developing assimilation techniques for Atmospheric Motion Vectors derived via a new nested tracking algorithm derived for the GOES-R Advanced Baseline Imager (ABI). US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2011, PowerPoint presentation.