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    VAS Retrievals as a Source of Information for Convective Weather Forecasts: An Objective Assessment and Comparison with Other Sources of Upper-Air Observations 

    Source: Monthly Weather Review:;1989:;volume( 117 ):;issue: 009:;page 2095
    Author(s): Kitzmiller, David H.; McGovern, Wayne E.
    Publisher: American Meteorological Society
    Abstract: Objective experiments have been carried out to determine which moisture and stability indices as derived from the VISSR Atmospheric Sounder (VAS) contain the greatest amount of predictive information with respect to ...
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    Effects of Retrospective Gauge-Based Readjustment of Multisensor Precipitation Estimates on Hydrologic Simulations 

    Source: Journal of Hydrometeorology:;2010:;Volume( 012 ):;issue: 003:;page 429
    Author(s): Zhang, Yu; Reed, Seann; Kitzmiller, David
    Publisher: American Meteorological Society
    Abstract: his paper presents methodologies for mitigating temporally inconsistent biases in National Weather Service (NWS) real-time multisensor quantitative precipitation estimates (MQPEs) through rain gauge?based readjustments, ...
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    Wind Profiler Observations Preceding Outbreaks of Large Hail over Northeastern Colorado 

    Source: Weather and Forecasting:;1990:;volume( 005 ):;issue: 001:;page 78
    Author(s): Kitzmiller, David H.; Mcgovern, Wayne E.
    Publisher: American Meteorological Society
    Abstract: Wind profiler, rawinsonde, and surface observations of the atmosphere over northeastern Colorado during the morning hours on 44 days were compared to the severity of subsequent thunderstorm activity. On half of thes days, ...
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    Evaluation of Radar Precipitation Estimates from the National Mosaic and Multisensor Quantitative Precipitation Estimation System and the WSR-88D Precipitation Processing System over the Conterminous United States 

    Source: Journal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 003:;page 1080
    Author(s): Wu, Wanru; Kitzmiller, David; Wu, Shaorong
    Publisher: American Meteorological Society
    Abstract: his study evaluated 24-, 6-, and 1-h radar precipitation estimated from the National Mosaic and Multisensor Quantitative Precipitation Estimation System (NMQ) and the Weather Surveillance Radar-1988 Doppler (WSR-88D) ...
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    The WSR-88D Severe Weather Potential Algorithm 

    Source: Weather and Forecasting:;1995:;volume( 010 ):;issue: 001:;page 141
    Author(s): Kitzmiller, David H.; McGovern, Wayne E.; Saffle, Robert F.
    Publisher: American Meteorological Society
    Abstract: The WSR-88D severe weather potential (SWP) algorithm is an automated procedure for the detection of severe local storms. The algorithm identifies individual thunderstorm cells within radar imagery and, for each cell, yields ...
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    Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting: The Effects of TRMM Data Ingest 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 003:;page 1051
    Author(s): Lee, Haksu; Zhang, Yu; Seo, Dong-Jun; Kuligowski, Robert J.; Kitzmiller, David; Corby, Robert
    Publisher: American Meteorological Society
    Abstract: his study examines the utility of satellite-based quantitative precipitation estimates (QPEs) from the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) algorithm for hydrologic prediction. In this work, two ...
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    The Use of Volumetric Radar Reflectivity Predictors in the Development of a Second-Generation Severe Weather Potential Algorithm 

    Source: Weather and Forecasting:;1995:;volume( 010 ):;issue: 002:;page 369
    Author(s): Breidenbach, Jay P.; Kitzmiller, David H.; McGovern, Wayne E.; Saffle, Robert E.
    Publisher: American Meteorological Society
    Abstract: The operational WSR-88D Severe Weather Potential (SWP) algorithm is an automated nowcasting procedure aimed at providing guidance in the detection of severe local storms. It yields a numerical index proportional to the ...
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    Comparative Strengths of SCaMPR Satellite QPEs with and without TRMM Ingest versus Gridded Gauge-Only Analyses 

    Source: Journal of Hydrometeorology:;2012:;Volume( 014 ):;issue: 001:;page 153
    Author(s): Zhang, Yu; Seo, Dong-Jun; Kitzmiller, David; Lee, Haksu; Kuligowski, Robert J.; Kim, Dongsoo; Kondragunta, Chandra R.
    Publisher: American Meteorological Society
    Abstract: his paper assesses the accuracy of satellite quantitative precipitation estimates (QPEs) from two versions of the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) algorithm relative to that of gridded gauge-only ...
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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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