Yu Zhang

发表

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 .

Evolving Multisensor Precipitation Estimation Methods: Their Impacts on Flow Prediction Using a Distributed Hydrologic Model

J. Gourley, Jian Zhang, K. Howard, 2011 .

Improving flood forecasting using conditional bias-penalized ensemble Kalman filter

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

The distributed model intercomparison project - Phase 2: Experiment design and summary results of the western basin experiments

S. Sorooshian, B. Cosgrove, E. Todini, 2013 .

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 .

Artifacts in Stage IV NWS Real-Time Multisensor Precipitation Estimates and Impacts on Identification of Maximum Series

Yu Zhang, E. Habib, H. Eldardiry, 2017 .

Joint distribution of multiplicative errors in radar and satellite QPEs and its use in estimating the conditional exceedance probability

Yu Zhang, Emad Habib, Robert J. Kuligowski, 2013 .

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 .

The distributed model intercomparison project – Phase 2: Motivation and design of the Oklahoma experiments

Yu Zhang, Naoki Mizukami, Victor Koren, 2012 .

Results of the DMIP 2 Oklahoma experiments

Yu Zhang, Naoki Mizukami, Victor Koren, 2012 .

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

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

of Nebraska - Lincoln of Nebraska - Lincoln Results of the DMIP 2 Oklahoma experiments Results of the DMIP 2 Oklahoma experiments

B. Cosgrove, V. Koren, Yu Zhang, 2019 .

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.

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 .

Multisensor Precipitation Estimation in the NOAA National Weather Service: Recent Advances

M. Fresch, D. Kitzmiller, Yu Zhang, 2008 .

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

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

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

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

Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm

Yu Zhang, Yuxiang He, Robert Cifelli, 2018, Remote. Sens..

Effect of Bias Correction of Satellite-Rainfall Estimates on Runoff Simulations at the Source of the Upper Blue Nile

Yu Zhang, Emad Habib, T. H. M. Rientjes, 2014, Remote. Sens..

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

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

Impact of TRMM Data on a Low-Latency, High-Resolution Precipitation Algorithm for Flash-Flood Forecasting

Yu Zhang, Robert J. Kuligowski, Yu Zhang, 2013 .

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

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

On the use of radar-based quantitative precipitation estimates for precipitation frequency analysis

Yu Zhang, E. Habib, H. Eldardiry, 2015 .

A Novel Attention-Based LSTM Cell Post-Processor Coupled with Bayesian Optimization for Streamow Prediction

Kristie J. Franz, Babak Alizadeh, Hamid Kamangir, 2021 .

SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulations

Yu Zhang, Victor Koren, Seann Reed, 2012 .

Comparison of Probabilistic Quantitative Precipitation Forecasts from Two Postprocessing Mechanisms

M. Scheuerer, J. Schaake, Limin Wu, 2017 .

Comparative Evaluation of Three Schaake Shuffle Schemes in Postprocessing GEFS Precipitation Ensemble Forecasts

Yu Zhang, Limin Wu, Haksu Lee, 2017 .

An enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database

Yu Zhang, Victor Koren, Seann Reed, 2011, Comput. Geosci..

Evaluation of Multisensor Quantitative Precipitation Estimation in Russian River Basin

V. Chandrasekar, Sergey Y. Matrosov, Yu Zhang, 2017 .

Improving Probabilistic Quantitative Precipitation Forecasts Using Short Training Data through Artificial Neural Networks

T. Hamill, Yu Zhang, N. Fernando, 2022, Journal of Hydrometeorology.

Results of the DMIP 2 Oklahoma experiments

B. Cosgrove, V. Koren, Yu Zhang, 2012 .

Effects of Retrospective Gauge-Based Readjustment of Multisensor Precipitation Estimates on Hydrologic Simulations

D. Kitzmiller, Yu Zhang, Seann Reed, 2011 .