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    The Impact of Satellite-Derived Polar Winds on Lower-Latitude Forecasts 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 001:;page 123
    Author(s): Santek, David
    Publisher: American Meteorological Society
    Abstract: The use of atmospheric motion vectors (AMVs) in NWP models continues to be an important source of information in data-sparse regions. These AMVs are derived from a time sequence of images from geostationary and polar-orbiting ...
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    Measuring the Global Distribution of Intense Convection over Land with Passive Microwave Radiometry 

    Source: Journal of Climate and Applied Meteorology:;1985:;Volume( 024 ):;Issue: 008:;page 860
    Author(s): Spencer, Roy W.; Santek, David A.
    Publisher: American Meteorological Society
    Abstract: The global distribution of intense convective activity over land is shown to be measurable with satellite passive-microwave methods through a comparison of an empirical rain rate algorithm with a climatology of thunderstorm ...
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    Severe Storm Identification with Satellite Microwave Radiometry: An Initial Investigation with Nimbus-7 SMMR Data 

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 006:;page 749
    Author(s): Spencer, Roy W.; Howland, Michael R.; Santek, David A.
    Publisher: American Meteorological Society
    Abstract: In an attempt to determine the feasibility of detecting and monitoring severe weather with future satellite passive microwave observations, the severe weather characteristics of convective storms as observed by the Nimbus ...
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    Cloud-Top Heights from GOES-8 and GOES-9 Stereoscopic Imagery 

    Source: Journal of Applied Meteorology:;1998:;volume( 037 ):;issue: 004:;page 405
    Author(s): Wylie, Donald P.; Santek, David; Starr, David O’C.
    Publisher: American Meteorological Society
    Abstract: Operational satellite data from GOES-8 and GOES-9 were used to make stereoscopic measurements of cloud heights during the National Aeronautics and Space Administration?s Subsonic Aircraft: Contrail and Cloud Effects Special ...
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    A Model for Calculating Desert Aerosol Turbidity over the Oceans from Geostationary Satellite Data 

    Source: Journal of Applied Meteorology:;1979:;volume( 019 ):;issue: 006:;page 633
    Author(s): Norton, Carl C.; Mosher, Frederick R.; Hinton, Barry; Martin, David W.; Santek, David; Kuhlow, William
    Publisher: American Meteorological Society
    Abstract: A technique has been developed to infer the optical thickness of Saharan dust from Synchronous Meteorological Satellite (SMS) brightness measurements at visible wavelengths. The scattering model consists of an air layer, ...
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    Recent Innovations in Deriving Tropospheric Winds from Meteorological Satellites 

    Source: Bulletin of the American Meteorological Society:;2005:;volume( 086 ):;issue: 002:;page 205
    Author(s): Velden, Christopher; Daniels, Jaime; Stettner, David; Santek, David; Key, Jeff; Dunion, Jason; Holmlund, Kenneth; Dengel, Gail; Bresky, Wayne; Menzel, Paul
    Publisher: American Meteorological Society
    Abstract: The evolving constellation of environmental/meteorological satellites and their associated sensor technology is rapidly advancing. This is providing opportunities for creatively improving satellite-derived products used ...
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    Untitled 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 004:;page 1603
    Author(s): Hoover, Brett T.;Santek, David A.;Daloz, Anne-Sophie;Zhong, Yafang;Dworak, Richard;Petersen, Ralph A.;Collard, Andrew
    Publisher: American Meteorological Society
    Abstract: AbstractAutomated aircraft observations of wind and temperature have demonstrated positive impact on numerical weather prediction since the mid-1980s. With the advent of the Water Vapor Sensing System (WVSS-II) humidity ...
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    High-Latitude Atmospheric Motion Vectors from Composite Satellite Data 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 053 ):;issue: 002:;page 534
    Author(s): Lazzara, Matthew A.; Dworak, Richard; Santek, David A.; Hoover, Brett T.; Velden, Christopher S.; Key, Jeffrey R.
    Publisher: American Meteorological Society
    Abstract: tmospheric motion vectors (AMVs) are derived from satellite-observed motions of clouds and water vapor features. They provide crucial information in regions void of conventional observations and contribute to forecaster ...
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    The Man computer Interactive Data Access System: 25 Years of Interactive Processing 

    Source: Bulletin of the American Meteorological Society:;1999:;volume( 080 ):;issue: 002:;page 271
    Author(s): Lazzara, Matthew A.; Benson, John M.; Fox, Robert J.; Laitsch, Denise J.; Rueden, Joseph P.; Santek, David A.; Wade, Delores M.; Whittaker, Thomas M.; Young, J. T.
    Publisher: American Meteorological Society
    Abstract: On 12 October 1998, it was the 25th anniversary of the Man computer Interactive Data Access System (McIDAS). On that date in 1973, McIDAS was first used operationally by scientists as a tool for data analysis. Over the ...
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    Recent advances in satellite data rescue 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 007:;page 1471
    Author(s): Poli, Paul; Dee, Dick P.; Saunders, Roger; John, Viju O.; Rayer, Peter; Schulz, Jörg; Holmlund, Kenneth; Coppens, Dorothee; Klaes, Dieter; Johnson, James E.; Esfandiari, Asghar E.; Gerasimov, Irina V.; Zamkoff, Emily B.; Al-Jazrawi, Atheer F.; Santek, David; Albani, Mirko; Brunel, Pascal; Fennig, Karsten; Schröder, Marc; Kobayashi, Shinya; Oertel, Dieter; Döhler, Wolfgang; Spänkuch, Dietrich; Bojinski, Stephan
    Publisher: American Meteorological Society
    Abstract: tellite data rescue activities uncover dormant records of our recent past. Unavailable back then, powerful methods enable today to assess and utilize early images and soundings for climate studies.
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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