Schwerdtfeger Library Publications Database

Results: Found 1202 records (displaying records 676 through 700)

676. Olander, Timothy L.; Velden, Christopher S. and Turk, Michael A.. Development of the Advanced Objective Dvorak Technique (AODT) - Current progress and future directions. Boston, MA, American Meteorological Society, 2002, Paper 15A.4. Reprint # 3861.

677. Olander, Timothy; Velden, Christopher and Daniels, Jaime. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for hurricane intensity. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.O1.
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678. Olander, Timothy; Velden, Christopher and Daniels, Jaime. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for hurricane intensity. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.O1.
PDF Document Link to PDF

679. Olander, Timothy; Velden, Christopher; Kossin, James; Wimmers, Anthony and Berger, Howard. The CIMSS Advanced Objective Dvorak Technique (AODT) - Latest advancements and implementation status. [Washington, DC], [US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorological Services and Supporting Research], 2005, abstract.

680. Olander, Timothy; Velden, Christopher; Kossin, James; Wimmers, Anthony and Berger, Howard. The CIMSS Advanced Objective Dvorak Technique (AODT) - Latest advancements and implementation status. [Washington, DC], [US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorological Services and Supporting Research], 2005, abstract.

681. Olander, Timothy; Wimmers, Anthony; Velden, Christopher and Kossin, James P.. Investigation of machine learning using satellite-based advanced Dvorak technique analysis parameters to estimate tropical cyclone intensity. Weather and Forecasting, Volume: 36, Issue: 6, 2021. Reprint # 8748.
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682. Olander, Timothy; Wimmers, Anthony; Velden, Christopher and Kossin, James P.. Investigation of machine learning using satellite-based advanced Dvorak technique analysis parameters to estimate tropical cyclone intensity. Weather and Forecasting, Volume: 36, Issue: 6, 2021. Reprint # 8748.
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683. Parker, Dave; Batzli, Sam; Dengel, Russ; Bearson, Nick; Bellon, Bill; Santek, Dave and Olander, Tim. Utilization of a web map service and smart phone technology by SSEC. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2010, PowerPoint presentation.
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684. Parker, Dave; Batzli, Sam; Dengel, Russ; Bearson, Nick; Bellon, Bill; Santek, Dave and Olander, Tim. Utilization of a web map service and smart phone technology by SSEC. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2010, PowerPoint presentation.
PDF Document Link to PDF

685. Pasch, Richard J. and Velden, Christopher S.. Operational use of UWISC/CIMSS vertical wind shear fields for tropical cyclone forecasting at the TPC/NHC. Boston, MA, American Meteorological Society, 1999, pp.571-573. Reprint # 2531.

686. Pasch, Richard J. and Velden, Christopher S.. Operational use of UWISC/CIMSS vertical wind shear fields for tropical cyclone forecasting at the TPC/NHC. Boston, MA, American Meteorological Society, 1999, pp.571-573. Reprint # 2531.

687. Pauley, Patricia M.; Baker, Nancy L.; Langland, Rolf; Xu, Liang and Velden, Chris. The impact of satellite Atmospheric Motion Vectors in the U.S. Navy Global Data Assimilation System: The superob procedure. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012, PowerPoint presentation. 46 slides.
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688. Pauley, Patricia M.; Baker, Nancy L.; Langland, Rolf; Xu, Liang and Velden, Chris. The impact of satellite Atmospheric Motion Vectors in the U.S. Navy Global Data Assimilation System: The superob procedure. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012, PowerPoint presentation. 46 slides.
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689. Pauley, Patricia M.; Baker, Nancy L.; Langland, Rolf; Xu, Liang and Velden, Christopher. The impact of satellite Atmospheric Motion Ventors in the US Navy global data assimilation system: The superob procedure. Darmstadt, Germany, EUMETSAT, 2012. Reprint # 6818.

690. Pauley, Patricia M.; Baker, Nancy L.; Langland, Rolf; Xu, Liang and Velden, Christopher. The impact of satellite Atmospheric Motion Ventors in the US Navy global data assimilation system: The superob procedure. Darmstadt, Germany, EUMETSAT, 2012. Reprint # 6818.

691. Peng, Melinda S.; Hendricks, E. A.; Elsberry, R. L.; Velden, C. S. and Bell, M. M.. Improved NAVGEM tropical cyclone predictions from upscaled COAMPS dynamic initialization analyses that have incorporated rapid scan atmospheric motion vectors during the Tropical Cyclone Intensity (TCI-15) field experiment. Boston, MA, American Meteorological Society, 2018, Abstract 13B.7.

692. Peng, Melinda S.; Hendricks, E. A.; Elsberry, R. L.; Velden, C. S. and Bell, M. M.. Improved NAVGEM tropical cyclone predictions from upscaled COAMPS dynamic initialization analyses that have incorporated rapid scan atmospheric motion vectors during the Tropical Cyclone Intensity (TCI-15) field experiment. Boston, MA, American Meteorological Society, 2018, Abstract 13B.7.

693. Posselt, Derek J.; Wu, Longtao; Mueller, Kevin; Huang, Lei; Irion, Fredrick W.; Brown, Shannon; Su, Hui; Santek, David and Velden, Christopher S.. Quantitative assessment of state-dependent atmospheric motion vector uncertainties. Journal of Applied Meteorology and Climatology, Volume: 58, Issue: 11, 2019, pp.2479-2495. Reprint # 8473.
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694. Posselt, Derek J.; Wu, Longtao; Mueller, Kevin; Huang, Lei; Irion, Fredrick W.; Brown, Shannon; Su, Hui; Santek, David and Velden, Christopher S.. Quantitative assessment of state-dependent atmospheric motion vector uncertainties. Journal of Applied Meteorology and Climatology, Volume: 58, Issue: 11, 2019, pp.2479-2495. Reprint # 8473.
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695. Pu, Zhaoxia; Li, Xuanli; Velden, Christopher S.; Aberson, Sim D. and Liu, W. Timothy. The impact of aircraft dropsonde and satellite wind data on numerical simulations of two landfalling tropical storms during the Tropical Cloud Systems and Processes experiment. Weather and Forecasting, Volume: 23, Issue: 1, 2008, pp.62-79. Reprint # 5673.
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696. Pu, Zhaoxia; Li, Xuanli; Velden, Christopher S.; Aberson, Sim D. and Liu, W. Timothy. The impact of aircraft dropsonde and satellite wind data on numerical simulations of two landfalling tropical storms during the Tropical Cloud Systems and Processes experiment. Weather and Forecasting, Volume: 23, Issue: 1, 2008, pp.62-79. Reprint # 5673.
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697. Pu, Zhaoxia; Velden, C.; Aberson, S. and Reynolds, C. A.. Assimilation of satellite data in improving numerical simulations of tropical cyclones: Lessons learned from field programs in last decade. Boston, MA, American Meteorological Society, 2013, Abstract J5.5.

698. Pu, Zhaoxia; Velden, C.; Aberson, S. and Reynolds, C. A.. Assimilation of satellite data in improving numerical simulations of tropical cyclones: Lessons learned from field programs in last decade. Boston, MA, American Meteorological Society, 2013, Abstract J5.5.

699. Rabin, Robert; Linsey, Dan; Grasso, Louie; Mecikalski, John; Walker, John; Schultz, Lori; Velden, Chris; Wanzong, Steve and Vant-Hull, Brian. GOES-R tools to improve convective storm forecasts 1-6 hours prior to initiation. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.

700. Rabin, Robert; Linsey, Dan; Grasso, Louie; Mecikalski, John; Walker, John; Schultz, Lori; Velden, Chris; Wanzong, Steve and Vant-Hull, Brian. GOES-R tools to improve convective storm forecasts 1-6 hours prior to initiation. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation.