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    Real-Time Correction of Spatially Nonuniform Bias in Radar Rainfall Data Using Rain Gauge Measurements 

    Source: Journal of Hydrometeorology:;2002:;Volume( 003 ):;issue: 002:;page 93
    Author(s): Seo, Dong-Jun; Breidenbach, J. P.
    Publisher: American Meteorological Society
    Abstract: A procedure for real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements is described. Developed to complement the existing gauge-based bias correction procedures used in the ...
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    Real-Time Variational Assimilation of Hydrologic and Hydrometeorological Data into Operational Hydrologic Forecasting 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 003:;page 627
    Author(s): Seo, Dong-Jun; Koren, Victor; Cajina, Neftali
    Publisher: American Meteorological Society
    Abstract: Variational assimilation (VAR) of hydrologic and hydrometeorological data into operational hydrologic forecasting is explored. The data assimilated are the hourly real-time observations of streamflow and precipitation, and ...
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    A Nonparametric Postprocessor for Bias Correction of Hydrometeorological and Hydrologic Ensemble Forecasts 

    Source: Journal of Hydrometeorology:;2010:;Volume( 011 ):;issue: 003:;page 642
    Author(s): Brown, James D.; Seo, Dong-Jun
    Publisher: American Meteorological Society
    Abstract: This paper describes a technique for quantifying and removing biases from ensemble forecasts of hydrometeorological and hydrologic variables. The technique makes no a priori assumptions about the distributional form of the ...
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    Characteristics of Reprocessed Hydrometeorological Automated Data System (HADS) Hourly Precipitation Data 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 005:;page 1287
    Author(s): Kim, Dongsoo; Nelson, Brian; Seo, Dong-Jun
    Publisher: American Meteorological Society
    Abstract: The Hydrometeorological Automated Data System (HADS) is a real-time data acquisition, processing, and distribution system operated by the Office of Hydrologic Development (OHD) of NOAA?s National Weather Service (NWS). The ...
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    A Nonhomogeneous Regression-Based Statistical Postprocessing Scheme for Generating Probabilistic Quantitative Precipitation Forecast 

    Source: Journal of Hydrometeorology:;2020:;volume( 021 ):;issue: 010:;page 2275
    Author(s): Ghazvinian, Mohammadvaghef;Zhang, Yu;Seo, Dong-Jun
    Publisher: American Meteorological Society
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    Verification of Precipitation Forecasts from NCEP’s Short-Range Ensemble Forecast (SREF) System with Reference to Ensemble Streamflow Prediction Using Lumped Hydrologic Models 

    Source: Journal of Hydrometeorology:;2012:;Volume( 013 ):;issue: 003:;page 808
    Author(s): Brown, James D.; Seo, Dong-Jun; Du, Jun
    Publisher: American Meteorological Society
    Abstract: recipitation forecasts from the Short-Range Ensemble Forecast (SREF) system of the National Centers for Environmental Prediction (NCEP) are verified for the period April 2006?August 2010. Verification is conducted for 10?20 ...
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    Real-Time Adjustment of Range-Dependent Biases in WSR-88D Rainfall Estimates due to Nonuniform Vertical Profile of Reflectivity 

    Source: Journal of Hydrometeorology:;2000:;Volume( 001 ):;issue: 003:;page 222
    Author(s): Seo, Dong-Jun; Breidenbach, Jay; Fulton, Richard; Miller, Dennis; O’Bannon, Timothy
    Publisher: American Meteorological Society
    Abstract: A procedure for real-time adjustment of range-dependent biases in Weather Surveillance Radar-1988 Doppler version (WSR-88D) rainfall estimates due to nonuniform vertical profile of reflectivity is proposed. Using volume-scan ...
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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 WSR-88D Rainfall Algorithm 

    Source: Weather and Forecasting:;1998:;volume( 013 ):;issue: 002:;page 377
    Author(s): Fulton, Richard A.; Breidenbach, Jay P.; Seo, Dong-Jun; Miller, Dennis A.; O’Bannon, Timothy
    Publisher: American Meteorological Society
    Abstract: A detailed description of the operational WSR-88D rainfall estimation algorithm is presented. This algorithm, called the Precipitation Processing System, produces radar-derived rainfall products in real time for forecasters ...
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    Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting 

    Source: Journal of Hydrologic Engineering:;2018:;Volume ( 023 ):;issue: 006
    Author(s): Mazzoleni Maurizio;Chacon-Hurtado Juan;Noh Seong Jin;Seo Dong-Jun;Alfonso Leonardo;Solomatine Dimitri
    Publisher: American Society of Civil Engineers
    Abstract: Diverse hydrologic and hydraulic models of varying complexities have been proposed in the past few decades to accurately predict the water levels and discharges along rivers. Among them, the hydrologic routing models are ...
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