D. Seo

发表

The Science of NOAA's Operational Hydrologic Ensemble Forecast Service

James D. Brown, Yuejian Zhu, J. Schaake, 2014 .

Evaluation of a nonparametric post‐processor for bias correction and uncertainty estimation of hydrologic predictions

James D. Brown, D. Seo, 2013 .

Ensemble prediction and data assimilation for operational hydrology

D. Seo, A. Weerts, Yuqiong Liu, 2014 .

The CASA Dallas Fort Worth Remote Sensing Network ICT for Urban Disaster Mitigation

V. Chandrasekar, Haonan Chen, B. Philips, 2013 .

Utilizing satellite precipitation estimates for streamflow forecasting via adjustment of mean field bias in precipitation data and assimilation of streamflow observations

P. Xie, Haksu Lee, D. Seo, 2015 .

A weakly-constrained data assimilation approach to address rainfall-runoff model structural inadequacy in streamflow prediction

Haksu Lee, D. Seo, S. Noh, 2016 .

Improving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach

J. McGinley, D. Seo, B. Brown, 2007 .

Overall distributed model intercomparison project results

D. Seo, V. Koren, S. Reed, 2004 .

Improving water quality forecasting via data assimilation – Application of maximum likelihood ensemble filter to HSPF

Dong-Jun Seo, Sunghee Kim, D. Seo, 2014 .

Scale dependencies of hydrologic models to spatial variability of precipitation

Dong-Jun Seo, John C. Schaake, Victor Koren, 1999 .

Real-Time Variational Assimilation of Hydrologic and Hydrometeorological Data into Operational Hydrologic Forecasting

Dong-Jun Seo, Victor Koren, Neftali Cajina, 2003 .

Assimilation of streamflow and in situ soil moisture data into operational distributed hydrologic models: Effects of uncertainties in the data and initial model soil moisture states

Victor Koren, Haksu Lee, D. Seo, 2011 .

Precipitation and temperature ensemble forecasts from single-value forecasts

J. Schaake, J. Demargne, Limin Wu, 2007 .

Improving flood forecasting using conditional bias-penalized ensemble Kalman filter

Haksu Lee, D. Seo, S. Noh, 2019, Journal of Hydrology.

Climatology-Calibrated Precipitation Analysis at Fine Scales: Statistical Adjustment of Stage IV toward CPC Gauge-Based Analysis

Roman Krzysztofowicz, Yuejian Zhu, P. Xie, 2014 .

Assessment and Implications of NCEP Stage IV Quantitative Precipitation Estimates for Product Intercomparisons

D. Seo, E. Habib, B. Nelson, 2016 .

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

Jay P. Breidenbach, D. Seo, 2002 .

The WSR-88D rainfall algorithm

Dong-Jun Seo, Richard A. Fulton, Jay P. Breidenbach, 1998 .

Real-time estimation of mean field bias in radar rainfall data

Dong-Jun Seo, Jay P. Breidenbach, D. Seo, 1999 .

National mosaic and multi-sensor QPE (NMQ) system description, results, and future plans

Jian Zhang, Dong-Jun Seo, Kevin E. Kelleher, 2011 .

Improving real-time estimation of heavy-to-extreme precipitation using rain gauge data via conditional bias-penalized optimal estimation

Yu Zhang, Dong-Jun Seo, Ridwan Siddique, 2014 .

Real-time adjustment of range-dependent biases in WSR-88D rainfall estimates due to nonuniform vertical profile of reflectivity

Jay P. Breidenbach, D. Seo, R. Fulton, 2000 .

A Nonparametric Postprocessor for Bias Correction of Hydrometeorological and Hydrologic Ensemble Forecasts

Dong-Jun Seo, James D. Brown, D. Seo, 2010 .

Stochastic interpolation of rainfall data from rain gages and radar using Cokriging: 2. Results

Witold F. Krajewski, Dong-Jun Seo, David S. Bowles, 1990 .

Improving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates

D. Seo, S. Noh, Jian Zhang, 2019 .

Radar and Multisensor Rainfall Estimation for Hydrologic Applications

D. Seo, A. Seed, G. Delrieu, 2013 .

Multisensor Precipitation Reanalysis

Dong-Jun Seo, Brian R. Nelson, D. Seo, 2010 .

QPE IN NWS HYDROLOGIC APPLICATIONS : PRESENT AND FUTURE

D. Seo, D. Kitzmiller, P. Restrepo, 2007 .

Multi-sensor precipitation reanalysis

J. Bates, D. Seo, Dongsoo Kim, 2009 .

Mean Field Bias-Aware State Updating via Variational Assimilation of Streamflow into Distributed Hydrologic Models

Haksu Lee, D. Seo, Haojing Shen, 2020, Forecasting.

The impacts of climatological adjustment of quantitative precipitation estimates on the accuracy of flash flood detection

B. Cosgrove, J. Gourley, D. Seo, 2016 .

Differences in scale-dependent, climatological variation of mean areal precipitation based on satellite and radar-gauge observations

D. Seo, Yu Zhang, J. McCollum, 2015 .

Variational assimilation of streamflow into operational distributed hydrologic models: effect of spatiotemporal scale of adjustment

Haksu Lee, Haksu Lee, D. Seo, 2012 .

Variational assimilation of streamflow into operational distributed hydrologic models: effect of spatiotemporal adjustment scale

Dong-Jun Seo, Victor Koren, Haksu Lee, 2012 .

MEAN-FIELD RAINFALL BIAS STUDIES FOR WSR-88D

Emmanouil N. Anagnostou, Witold F. Krajewski, E. Anagnostou, 1998 .

Simple and modular integrated modeling of storm drain network with gridded distributed hydrologic model via grid-rendering of storm drains for large urban areas

D. Seo, Hamideh Habibi, 2018, Journal of Hydrology.

High Resolution Flash Flood Forecasting for the Dallas-Fort Worth Metroplex

D. Seo, R. Muttiah, Hamideh Habibi, 2016 .

Toward high-resolution flash flood prediction in large urban areas - Analysis of sensitivity to spatiotemporal resolution of rainfall input and hydrologic modeling

Dong-Jun Seo, Haksu Lee, Behzad Nazari, 2015 .

MODELING FOR IMPROVED NWS RIVER FORECASTS

D. Seo, V. Koren, S. Reed, 2002 .

A Nonhomogeneous Regression-Based Statistical Postprocessing Scheme for Generating Probabilistic Quantitative Precipitation Forecast

D. Seo, Yu Zhang, Mohammadvaghef Ghazvinian, 2020 .

Assimilation of Streamflow Observations

Haksu Lee, D. Seo, A. Weerts, 2018 .

Conditional bias-penalized Kalman filter for improved estimation and prediction of extremes

Miah Mohammad Saifuddin, Haksu Lee, D. Seo, 2017, Stochastic Environmental Research and Risk Assessment.

Improving Operational Water Quality Forecasting with Ensemble Data Assimilation

D. Seo, Kyunghyun Kim, Sunghee Kim, 2016 .

HSPF Restart Function for Short-Range Water Quality Forecasting and Data Assimilation

D. Seo, Sunghee Kim, C. Shin, 2015 .

Real-time assimilation of radar-based precipitation data and streamflow observations into a distributed hydrological model

D. Seo, V. Koren, Neftali Cajina, 2003 .

Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 1. Experimental design and forcing verification

James D. Brown, Limin Wu, Satish Regonda, 2014 .

Radar-Based Precipitation Processing for NWS Hydrologic Forecast Services

Jay P. Breidenbach, D. Seo, R. Fulton, 1999 .

Comment on “Stochastic interpolation of rainfall data from rain gages and radar using cokriging: 1, Design of experiments,” and “2, Results,” by Dong-Jun Seo et al.

D. Seo, W. Krajewski, D. Bowles, 1992 .

High-resolution hydrologic forecasting for very large urban areas

M. Zink, D. Seo, S. Noh, 2019, Journal of Hydroinformatics.

HYDROLOGIC ENSEMBLE PREDICTION FOR RISK-BASED WATER RESOURCES MANGEMENT AND HAZARD MITIGATION

James D. Brown, J. Demargne, Limin Wu, 2010 .

iSPUW: integrated sensing and prediction of urban water for sustainable cities

Michael Zink, Branko Kerkez, Seong Jin Noh, 2016 .

Geometric Analysis of Conditional Bias-Informed Kalman Filters

Haksu Lee, D. Seo, Haojing Shen, 2022, Hydrology.

Assessing the Impact of Variations in Hydrologic, Hydraulic and Hydrometeorological Controls on Inundation in Urban Areas

D. Seo, R. Muttiah, B. Nazari, 2016 .

On the Relationship Between Catchment Scale and Climatological Variability of Surface‐Runoff Volume

D. Seo, J. Smith, 1996 .

Toward parsimonious modeling of frequency of areal runoff from heavy-to-extreme precipitation in large urban areas under changing conditions: a derived moment approach

D. Seo, S. Noh, Yu Zhang, 2019, Stochastic Environmental Research and Risk Assessment.

Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 2. Streamflow verification

James D. Brown, Limin Wu, Satish Regonda, 2014 .

Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting: The Effects of TRMM Data Ingest

Haksu Lee, D. Seo, D. Kitzmiller, 2014 .

Assimilation of hydrologic and hydrometeorological data into distributed hydrologic model: Effect of adjusting mean field bias in radar-based precipitation estimates

Haksu Lee, D. Seo, 2014 .

Operational application of combined radar and raingauges precipitation estimation at the CHMI

D. Seo, 2004 .

Validation of range correction algorithm using real-time radar data from Sterling, VA

D. Seo, D. Kitzmiller, F. Ding, 2004 .

Multi-model streamflow prediction using conditional bias-penalized multiple linear regression

D. Seo, Yu Zhang, E. Welles, 2021, Stochastic Environmental Research and Risk Assessment.

A wavelet-based approach to assessing timing errors in hydrologic predictions

Yuqiong Liu, Julie Demargne, Dong Jun Seo, 2011 .

Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges

Dong-Jun Seo, James D. Brown, Haksu Lee, 2020 .

An Intercomparison Study of NEXRAD Precipitation Estimates

Dong-Jun Seo, Mary Lynn Baeck, Michael D. Hudlow, 1996 .

Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization

Seungsoo Lee, Jun-Hak Lee, Kenji Kawaike, 2018, Environ. Model. Softw..

Evaluation of the Range Correction Algorithm and Convective Stratiform Separation Algorithm for Improving Hydrological Modeling

D. Seo, D. Kitzmiller, F. Moreda, 2005 .

Retrospective Dynamic Inundation Mapping of Hurricane Harvey Flooding in the Houston Metropolitan Area Using High-Resolution Modeling and High-Performance Computing

Dong-Jun Seo, Jun-Hak Lee, Seong Jin Noh, 2019, Water.

The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations

Yuqiong Liu, Julie Demargne, James D. Brown, 2010, Environ. Model. Softw..

Stochastic Interpolation of Precipitation Data From Multiple Sensors

C. Duffy, D. Seo, W. Krajewski, 1988 .

Development of a large radar database for hydrometeorological studies

Witold F. Krajewski, Anton Kruger, Dong-Jun Seo, 1999 .

Conditional bias-penalized kriging (CBPK)

D. Seo, 2012, Stochastic Environmental Research and Risk Assessment.

Irrigation control in the presence of salinity: Extended linear quadratic approach

R. Bras, D. Seo, 1987 .

Real-time estimation of rainfall fields using radar rainfall and rain gage data

Dong-Jun Seo, D. Seo, 1998 .

Evaluation and blending of ATMS and AMSR2 snow water equivalent retrievals over the conterminous United States

D. Seo, Yuqiong Liu, C. Grassotti, 2021 .

Space-time scale sensitivity of the Sacramento model to radar-gage precipitation inputs

Dong-Jun Seo, Victor Koren, Glenn E. Moglen, 1997 .

Objective reduction of rain gauge network via geostatistical analysis of uncertainty in radar-gauge precipitation estimation

Dong-Jun Seo, Peter Ahnert, Ridwan Siddique, 2015 .

Towards the characterization of streamflow simulation uncertainty through multimodel ensembles

Dong-Jun Seo, Hoshin Vijai Gupta, Konstantine P. Georgakakos, 2004 .

NOAA NWS distributed hydrologic modeling research and development

Dong-Jun Seo, Fekadu Moreda, Ziya Zhang, 2004 .

Comparative Strengths of SCaMPR Satellite QPEs with and without TRMM Ingest versus Gridded Gauge-Only Analyses

Dong-Jun Seo, Yu Zhang, Haksu Lee, 2013 .

The National Mosaic and multisensor QPE (NMQ) Project - Status and plans for a community testbed for high-resolution multisensor quantitative precipitation estimation (QPE) over the United States

Jian Zhang, Dong-Jun Seo, Chandra R. Kondragunta, 2005 .

Verification of Precipitation Forecasts from NCEP’s Short-Range Ensemble Forecast (SREF) System with Reference to Ensemble Streamflow Prediction Using Lumped Hydrologic Models

Dong-Jun Seo, Jun Du, James D. Brown, 2012 .

A statistical post-processor for accounting of hydrologic uncertainty in short-range ensemble streamflow prediction

J. Schaake, D. Seo, H. Herr, 2006 .

Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models

Dong-Jun Seo, Haksu Lee, Arezoo Rafieeinasab, 2014 .

Hydrology laboratory research modeling system (HL-RMS) of the US national weather service

Michael Smith, Dong-Jun Seo, Victor Koren, 2004 .

The distributed model intercomparison project (DMIP): Motivation and experiment design

Dong-Jun Seo, Qingyun Duan, Victor Koren, 2004 .

A novel hybrid artificial neural network - Parametric scheme for postprocessing medium-range precipitation forecasts

Dong-Jun Seo, Yu Zhang, Mohammadvaghef Ghazvinian, 2021 .

Generation of ensemble precipitation forecast from single-valued quantitative precipitation forecast for hydrologic ensemble prediction

Julie Demargne, Limin Wu, James D. Brown, 2011 .

Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting

D. Solomatine, D. Seo, S. Noh, 2018, Journal of Hydrologic Engineering.

High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation

B. Philips, D. Seo, A. Weerts, 2021, Journal of Hydrology.

Hydrologic applications of weather radar

H. Andrieu, D. Seo, E. Habib, 2015 .

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Seong Jin Noh, Yuqiong Liu, Martyn P. Clark, 2012 .

Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation

D. Seo, S. Noh, B. Nelson, 2018 .

Simulation of precipitation fields from probabilistic quantitative precipitation forecast

Dong-Jun Seo, John C. Schaake, E. Welles, 2000 .

Nonlinear estimation of spatial distribution of rainfall — An indicator cokriging approach

Dong-Jun Seo, D. Seo, 1996 .

Automatic state updating for operational streamflow forecasting via variational data assimilation

Dong Jun Seo, Lee Cajina, Robert Corby, 2009 .

Stochastic interpolation of rainfall data from rain gages and radar using cokriging: 1. Design of experiments

Witold F. Krajewski, Dong-Jun Seo, David S. Bowles, 1990 .

Rainfall estimation using raingages and radar — A Bayesian approach: 2. An application

D. Seo, J. Smith, 1991 .

Rainfall estimation using raingages and radar — A Bayesian approach: 1. Derivation of estimators

Dong-Jun Seo, J. A. Smith, D. Seo, 1991 .

Spatial rainfall estimation by linear and non-linear co-kriging of radar-rainfall and raingage data

W. F. Krajewski, D. Seo, W. Krajewski, 1989 .

The WSR-88 D Rainfall Algorithm

Jay P. Breidenbach, D. Seo, R. Fulton, 1998 .

Fast and efficient optimization of hydrologic model parameters using a priori estimates and stepwise line search

Dong Jun Seo, Vadim Kuzmin, Victor Koren, 2008 .

DISTRIBUTED MODELING FOR IMPROVED NWS RIVER FORECASTS

Dong-Jun Seo, Victor Koren, Seann Reed, 2002 .

Diagnostic verification of hydrometeorological and hydrologic ensembles

Yuqiong Liu, Julie Demargne, Dong Jun Seo, 2010 .

Sustainable Strategies for the Dynamic Equilibrium of the Urban Stream, Cheonggyecheon

D. Seo, Y. Kwon, 2018 .

Improving high-resolution quantitative precipitation estimation via fusion of multiple radar-based precipitation products

Brian R. Nelson, Amir Norouzi, Dong-Jun Seo, 2015 .

Real-time estimation of rainfall fields using rain gage data under fractional coverage conditions

Dong-Jun Seo, D. Seo, 1998 .

Short-term ensemble streamflow forecasting using operationally-produced single-valued streamflow forecasts

Dong-Jun Seo, Satish Kumar Regonda, William T. Lawrence, 2010 .

Final Report for June 1 , 1999 to May 31 , 2000 Interagency Memorandum of Understanding Among The NEXRAD Program , The WSR-88 D Operational Support Facility , and The National Weather Service Office of Hydrology

Jay P. Breidenbach, D. Seo, W. Krajewski, 2000 .

Assessing the Skill of Medium-Range Ensemble Precipitation and Streamflow Forecasts from the Hydrologic Ensemble Forecast Service (HEFS) for the Upper Trinity River Basin in North Texas

Dong-Jun Seo, James D. Brown, Manabendra Saharia, 2018, Journal of Hydrometeorology.

Radar-based short-term rainfall prediction

Dong-Jun Seo, D. Seo, J. Smith, 1992 .

iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities

Michael Zink, Jean Gao, Branko Kerkez, 2014, DyDESS.