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    Identifying ZDR Columns in Radar Data with the Hotspot Technique 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 003:;page 581
    Author(s): Krause, John; Klaus, Vinzent
    Publisher: American Meteorological Society
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    Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination 

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 004:;page 829
    Author(s): Ortega, Kiel L.; Krause, John M.; Ryzhkov, Alexander V.
    Publisher: American Meteorological Society
    Abstract: his study is the third part of a paper series investigating the polarimetric radar properties of melting hail and application of those properties for operational polarimetric hail detection and determination of its size. ...
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    Automatic Designation of the Melting Layer with a Polarimetric Prototype of the WSR-88D Radar 

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 005:;page 1354
    Author(s): Giangrande, Scott E.; Krause, John M.; Ryzhkov, Alexander V.
    Publisher: American Meteorological Society
    Abstract: A new polarimetric melting layer detection algorithm (MLDA) is utilized to estimate the top (melting level) and bottom boundaries of the melting layer and is tailored for operational deployment. Melting layer designations ...
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    Quality Control of Weather Radar Data Using Polarimetric Variables 

    Source: Journal of Atmospheric and Oceanic Technology:;2014:;volume( 031 ):;issue: 006:;page 1234
    Author(s): Lakshmanan, Valliappa; Karstens, Christopher; Krause, John; Tang, Lin
    Publisher: American Meteorological Society
    Abstract: ecause weather radar data are commonly employed in automated weather applications, it is necessary to censor nonmeteorological contaminants, such as bioscatter, instrument artifacts, and ground clutter, from the data. With ...
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    Which Polarimetric Variables Are Important for Weather/No-Weather Discrimination? 

    Source: Journal of Atmospheric and Oceanic Technology:;2015:;volume( 032 ):;issue: 006:;page 1209
    Author(s): Lakshmanan, Valliappa; Karstens, Christopher; Krause, John; Elmore, Kim; Ryzhkov, Alexander; Berkseth, Samantha
    Publisher: American Meteorological Society
    Abstract: ecently, a radar data quality control algorithm has been devised to discriminate between weather echoes and echoes due to nonmeteorological phenomena, such as bioscatter, instrument artifacts, and ground clutter (Lakshmanan ...
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    Sources of Uncertainty in Precipitation-Type Forecasting 

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 004:;page 936
    Author(s): Reeves, Heather Dawn; Elmore, Kimberly L.; Ryzhkov, Alexander; Schuur, Terry; Krause, John
    Publisher: American Meteorological Society
    Abstract: ive implicit precipitation-type algorithms are assessed using observed and model-forecast sounding data in order to measure their accuracy and to gauge the effects of model uncertainty on algorithm performance. When applied ...
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    A Physically Based Precipitation–Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System 

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 005:;page 1106
    Author(s): Tang, Lin; Zhang, Jian; Langston, Carrie; Krause, John; Howard, Kenneth; Lakshmanan, Valliappa
    Publisher: American Meteorological Society
    Abstract: olarimetric radar observations provide information regarding the shape and size of scatterers in the atmosphere, which help users to differentiate between precipitation and nonprecipitation radar echoes. Identifying and ...
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    The Joint Polarization Experiment: Polarimetric Radar in Forecasting and Warning Decision Making 

    Source: Weather and Forecasting:;2005:;volume( 020 ):;issue: 005:;page 775
    Author(s): Scharfenberg, Kevin A.; Miller, Daniel J.; Schuur, Terry J.; Schlatter, Paul T.; Giangrande, Scott E.; Melnikov, Valery M.; Burgess, Donald W.; Andra, David L.; Foster, Michael P.; Krause, John M.
    Publisher: American Meteorological Society
    Abstract: To test the utility and added value of polarimetric radar products in an operational environment, data from the Norman, Oklahoma (KOUN), polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D) were delivered to the ...
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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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