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    Brightband Identification Based on Vertical Profiles of Reflectivity from the WSR-88D 

    Source: Journal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 010:;page 1859
    Author(s): Zhang, Jian; Langston, Carrie; Howard, Kenneth
    Publisher: American Meteorological Society
    Abstract: The occurrence of a bright band, a layer of enhanced reflectivity due to melting of aggregated snow, increases uncertainties in radar-based quantitative precipitation estimation (QPE). The height of the brightband layer ...
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    Four-Dimensional Dynamic Radar Mosaic 

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 005:;page 776
    Author(s): Langston, Carrie; Zhang, Jian; Howard, Kenneth
    Publisher: American Meteorological Society
    Abstract: Communities and many industries are affected by severe weather and have a need for real-time accurate Weather Surveillance Radar-1988 Doppler (WSR-88D) data spanning several regions. To fulfill this need the National Severe ...
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    Improving WSR-88D Radar QPE for Orographic Precipitation Using Profiler Observations 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 003:;page 1135
    Author(s): Qi, Youcun; Zhang, Jian; Kaney, Brian; Langston, Carrie; Howard, Kenneth
    Publisher: American Meteorological Society
    Abstract: uantitative precipitation estimation (QPE) in the West Coast region of the United States has been a big challenge for Weather Surveillance Radar-1988 Doppler (WSR-88D) because of severe blockages caused by the complex ...
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    A Real-Time Algorithm for Merging Radar QPEs with Rain Gauge Observations and Orographic Precipitation Climatology 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 005:;page 1794
    Author(s): Zhang, Jian; Qi, Youcun; Langston, Carrie; Kaney, Brian; Howard, Kenneth
    Publisher: American Meteorological Society
    Abstract: igh-resolution, accurate quantitative precipitation estimation (QPE) is critical for monitoring and prediction of flash floods and is one of the most important drivers for hydrological forecasts. Rain gauges provide a ...
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    Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System 

    Source: Journal of Atmospheric and Oceanic Technology:;2020:;volume( 37 ):;issue: 009:;page 1521
    Author(s): Tang, Lin;Zhang, Jian;Simpson, Micheal;Arthur, Ami;Grams, Heather;Wang, Yadong;Langston, Carrie
    Publisher: American Meteorological Society
    Abstract: The Multi-Radar-Multi-Sensor (MRMS) system was transitioned into operations at the National Centers for Environmental Prediction in the fall of 2014. It provides high-quality and high-resolution severe weather and precipitation ...
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    A Real-Time Evaporation Correction Scheme for Radar-Derived Mosaicked Precipitation Estimations 

    Source: Journal of Hydrometeorology:;2017:;volume 019:;issue 001:;page 87
    Author(s): Martinaitis, Steven M.; Grams, Heather M.; Langston, Carrie; Zhang, Jian; Howard, Kenneth
    Publisher: American Meteorological Society
    Abstract: AbstractPrecipitation values estimated by radar are assumed to be the amount of precipitation that occurred at the surface, yet this notion is inaccurate. Numerous atmospheric and microphysical processes can alter the ...
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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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    Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities 

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 004:;page 621
    Author(s): Zhang, Jian; Howard, Kenneth; Langston, Carrie; Kaney, Brian; Qi, Youcun; Tang, Lin; Grams, Heather; Wang, Yadong; Cocks, Stephen; Martinaitis, Steven; Arthur, Ami; Cooper, Karen; Brogden, Jeff; Kitzmiller, David
    Publisher: American Meteorological Society
    Abstract: apid advancements of computer technologies in recent years made the real-time transferring and integration of high-volume, multisource data at a centralized location a possibility. The Multi-Radar Multi-Sensor (MRMS) system ...
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    Evolving Multisensor Precipitation Estimation Methods: Their Impacts on Flow Prediction Using a Distributed Hydrologic Model 

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 006:;page 1414
    Author(s): Kitzmiller, David; Van Cooten, Suzanne; Ding, Feng; Howard, Kenneth; Langston, Carrie; Zhang, Jian; Moser, Heather; Zhang, Yu; Gourley, Jonathan J.; Kim, Dongsoo; Riley, David
    Publisher: American Meteorological Society
    Abstract: his study investigates evolving methodologies for radar and merged gauge?radar quantitative precipitation estimation (QPE) to determine their influence on the flow predictions of a distributed hydrologic model. These methods ...
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    An Operational Multi-Radar Multi-Sensor QPE System in Taiwan 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( ):;issue: -:;page 1
    Author(s): Chang, Pao-Liang;Zhang, Jian;Tang, Yu-Shuang;Tang, Lin;Lin, Pin-Fang;Langston, Carrie;Kaney, Brian;Chen, Chia-Rong;Howard, Kenneth
    Publisher: American Meteorological Society
    Abstract: The operational system provides a suite of QPE products at 1-km resolution and 10-min update cycle over Taiwan and adjacent ocean based on multi-wavelength radar, gauge and atmospheric environmental and climatological ...
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    DSpace software copyright © 2002-2015  DuraSpace
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