Steven T. Wanzong



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Results: Found 11 records (displaying records 1 through 11)


1. Mueller, Kevin J.; Wu, Dong L.; Lorvath, Akos; Jovanovic, Veliko M.; Muller, Jan-Peter; De Girolamo, Larry; Garay, Michael J.; Diner, David J.; Moroney, Catherine M. and Wanzong, Steve. Assessment of MISR Cloud Motion Vectors (CMVs) relative to GOES and MODIS Atmospheric Motion Vectors (AMVs). Journal of Applied Meteorology and Climatology, Volume 56, Issue 3, 2017, pp.555-572. Reprint # 7869.
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2. Velden, Christopher; Lewis, William E.; Bresky, Wayne; Stettner, David; Daniels, Jaime and Wanzong, Steven. Assimilation of high-resolution satellite-derived Atmospheric Motion Vectors: Impact on HWRF forecasts of tropical cyclone track and intensity. Monthly Weather Review, Volume 145, Issue 3, 2017, pp.1107-1125. Reprint # 7920.
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3. Foster, Michael J.; Heidinger, Andrew; Hiley, Michael; Wanzong, Steve; Walther, Andi and Botambekov, Denis. PATMOS-x cloud climate record trend sensitivity to reanalysis products. Remote Sensing, Volume 8, Issue 5, 2016, doi:10.3390/rs8050424. Reprint # 7642.
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4. Le Marshall, John; Xiao, Yi; Howard, David; Tingwell, Chris; Freeman, Jeff; Gregory, Paul; Le, Tan; Margetic, Denis; Morrow, Tim; Daniels, Jaime; Jung, Jim; Bresky, Wayne; Bailey, Andrew and Wanzong, Steve. First results from the generation and assimilation of 10-minute atmospheric motion vectors in the Australian region. Journal of Southern Hemisphere Earth System Science, Volume 66, Issue 1, 2016, pp.12-18. Reprint # 7773.
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5. Bormann, Niels; Hernandez-Carrascal, Angeles; Borde, Regis; Lutz, Hans-Joachim; Otkin, Jason A. and Wanzong, Steve. Atmospheric Motion Vectors from model simulations. Part I: Methods and characterization as single-level estimates of wind. Journal of Applied Meteorology and Climatology, Volume 53, Issue 1, 2014, 47–64. Reprint # 7148.
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6. 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.
7. Bresky, Wayne C.; Daniels, Jaime M.; Bailey, Andrew A. and Wanzong, Steven T. New methods toward minimizing the slow speed bias associated with Atmospheric Motion Vectors. Journal of Applied Meteorology and Climatology, Volume 51, Issue 12, 2012, pp.2137-2151. Reprint # 6924.
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8. Le Marshall, J.; Seecamp. R.; Dunn,. M.; Velden, C.; Wanzong, S.; Puri, K.; Bowen, R. and Rea, A. The contribution of locally generated MTSat-IR atmospheric motion vectors to operational meteorology in the Australian region. Australian Meteorological Magazine, Volume 57, Issue 4, 2008, pp.359-365. Reprint # 6057.
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9. Velden, Christopher S.; Olander, Timothy L. and Wanzong, Steve. The impact of multispectral GOES-8 wind information on Atlantic tropical cyclone track forecasts in 1995, part I: Dataset methodology, description, and case analysis. Monthly Weather Review, Volume 126, Issue 5, 1998, pp.1202-1218. Reprint # 2462.
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10. Nieman, Steven J.; Menzel, W. Paul; Hayden, Christopher M.; Gray, Donald; Wanzong, Steven T.; Velden, Christopher S. and Daniels, Jaime. Fully automated cloud-drift winds in NESDIS operations. Bulletin of the American Meteorological Society, Volume 78, Issue 6, 1997, pp.1121-1133. Reprint # 2369.
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11. Velden, Christopher S.; Hayden, Christopher M.; Nieman, Steven J.; Menzel W. Paul; Wanzong, Steven and Goerss, James S. Upper-tropospheric winds derived from geostationary satellite water vapor observations. Bulletin of the American Meteorological Society, Volume 78, Issue 2, 1997, pp.173-195. Reprint # 2411.
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