Schwerdtfeger Library Publications Database

Results: Found 839 records (displaying records 776 through 800)

776. Velden, C.; Stettner, D. and Daniels, J.. Influence of deriving and assimilating high-resolution satellite-derived winds on mesoscale analyses and forecasts of tropical cyclones in the GOES-R era. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.

777. Velden, Chris; Olander, Tim and Daniels, Jaime. Winds Application Team: Hurricane Intensity Estimation (HIE) algorithm. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2014, PowerPoint presentation. 18 slides.
PPT Document Link to PPT

778. Velden, Chris; Olander, Tim and Daniels, Jaime. GOES-R Hurricane Intensity Estimation (HIE). US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation.

779. Velden, Christopher. Influence of deriving and assimilating high-resolution satellite-derived winds on mesoscale analyses and forecasts of tropical cyclones in the GOES-R era. Greenbelt, MD, National Oceanic and Atmospheric Administration (NOAA), 2013, PowerPoint presentation.
PDF Document Link to PDF

780. Velden, Christopher S.; Wanzong, S.; Genkova, I.; Santek, D. A.; Li, J.; Olson, E. R. and Otkin, J. A.. Clear sky atmospheric motion vectors derived from the GOES Sounder and simulated GOES-R hyperspectral moisture retrievals. Boston, MA, American Meteorological Society, 2007, Abstract P1.27.

781. Velden, Christopher; Daniels, Jaime; Bresky, Wayne; Wanzong, Steve and Stettner, David. High-resolution Atmospheric Motion Vectors (AMVs) for application in high-impact weather events in the GOES-R era. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, poster presentation.

782. Velden, Christopher; DeMaria, Mark; Knaff, John; Brennan, Mike; Bevan, Jack; Cobb, Hugh; Schauer, Jessica; Fuell, Kevin; Dunion, Jason and Folmer, Michael. Overview of the GOES-R proving ground activities at the national Hurricane Center. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation.

783. Velden, Christopher; Herndon, Derrick and Olander, Timothy. Estimating tropical cyclone intensity in the GOES-R/JPSS era. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, poster presentation.

784. Velden, Christopher; Rabin, Robert; Mecikalski, John; Bedka, Kristopher; Otkin, Jason; Cecil, Daniel; Jones, Thomas and Lang, Timothy. Investigation of mesoscale flow fields in severe storm environments enabled by the development and multiple-application of high-resolution (space and time), research-quality Atmospheric Motion Vector fields derived from GOES-R multi-spectral imagery. NNX1. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2018. Call Number: UW SSEC Publication No.18.07.V1.
PDF Document Link to PDF

785. Velden, Christopher; Rabin, Robert; Mecikalski, John; Bedka, Kristopher; Otkin, Jason; Cecil, Daniel; Jones, Thomas and Lang, Timothy. Investigation of mesoscale flow fields in severe storm environments enabled by the development and multiple-application of high-resolution (space and time), research-quality Atmospheric Motion Vector fields derived from GOES-R multi-spectral imagery. Tec. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2017. Call Number: UW SSEC Publication No.17.05.V1.
PDF Document Link to PDF

786. Vicente, Gilberto A. and Heidinger, A. K.. Operational cloud detection systems in the NPOESS GOES-R era. Boston, MA, American Meteorological Society, 2007, Abstract P2.11.

787. Wade, Dee. McIDAS-X and McIDAS-V information. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2007, PowerPoint presentation.
PDF Document Link to PDF

788. Wade, Gary S.; Li, Zhenglong; Nelson, James P. III; Li, Jun and Schmit, Timothy J.. Insuring incorporation of improvements to the GOES sounder vertical profile retrieval algorithm into NOAA/NESDIS operations. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 68.
Abstract Document Link to Abstract

789. Wade, Gary S.; Nelson, James P. III; Allegrino, Amerigo S.; Gutman, Seth i.; Birkenheuer, Daniel L.; Li, Zhenglong; Schreiner, Anthony J.; Schmit, Timothy J.; Daniels, Jaime and Li, Jun. Transitioning improvements in the GOES sounder profile retrieval algorithm into operations. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, poster presentation.

790. Walf, Walter; Sampson, S.; Liu, X.; Li, A.; Yu, T.; Garcia, R.; Martin, G.; Straka, W.; Schiffer, E. and Daniels, J.. GOES-R AWG product processing system framework: Current capabilities and future plans. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation.

791. Walsh, Tim and Schmit, T. J.. Future GOES-R instrument operations - Capabilities and constraints. Boston, MA, American Meteorological Society, 2008, Abstract 6.2.

792. Walther, Andi and Heidinger, Andrew K.. Implementation of the Daytime Cloud Optical and Microphysical Properties algorithm (DCOMP) in PATMOS-x. Journal of Applied Meteorology and Climatology, Volume: 51, Issue: 7, 2012. Reprint # 6766.
PDF Document Link to PDF

793. Wang, Chenxi; Yang, Ping; Baum, Bryan A.; Platnick, Steven A.; Heidinger, Andrew K.; Hu, Yongxiang and Holz, Robert E.. Retrieval of ice cloud optical thickness and effective particle size using a fast infrared radiative transfer model. Journal of Applied Meteorology and Climatology, Volume: 50, Issue: 11, 2011, pp.2283-2297. Reprint # 6552.
PDF Document Link to PDF

794. Wang, Fang; Li, Jun and Schmit, Timothy J.. Trade-off study on vertical resolution for high spectral resolution sounder. Boston, MA, American Meteorological Society, 2005, Paper P1.46. Reprint # 3954.

795. Wang, Fang; Li, Jun; Schmit, Timothy J. and Ackerman, Steven A.. Trade-off studies of a hyperspectral infrared sounder on a geostationary satellite. Applied Optics, Volume: 46, Issue: 2, 2007, pp.200-209. Reprint # 5295.

796. Wang, Xuanji and Key, Jeffrey R.. ABI ice thickness and age: Algorithm theoretical basis document. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2010. Call Number: UW SSEC Publication No.10.09.W1.
PDF Document Link to PDF

797. Wang, Xuanji; Key, J. R.; Liu, Y. and Straka, W.. Estimation of sea and lake ice characteristics with GOES-R ABI. Boston, MA, American Meteorological Society, 2008, Abstract P1.59.

798. Wang, Xuanji; Key, Jeff and Liu, Yinghui. Derivation of ice thickness and age foruse with GOES-R ABI data. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

799. Wang, Xuanji; Key, Jeff and Liu, Yinghui. Derivation of ice thickness and age for use with GOES-R ABI data. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2010, PowerPoint presentation.

800. Wang, Xuanji; Key, Jeffrey R. and Liu, Yinghui. Sea and lake ice thickness and age for use with GOES-R ABI. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 41.
Abstract Document Link to Abstract