Yu Zhang （张雨）, Ph.D 
Current Web Page
Curriculum Vitae
Research Interests
Regional and Global Hydrological Modeling coupled with remote sensing data and NWP forecasts
Hydrological data assimilation
Ensemble streamflow forecast for both short term and seasonal forecast
Hydrological response under long-term climate change
Stochastic hydrology
Flood and drought risk assessment
Research Experience
Postdoctoral Research Associate, CEE, Princeton University. 2014.7 ~ Present
Postdoctoral Research Fellow, CEES, University of Oklahoma. 2014.1 ~ 2014.6
Research Assistant, CEES, University of Oklahoma. 2010.8 ~ 2013.12
Education
Ph.D. School of Civil Engineering and Enviromental Science,
University of Oklahoma, 2013.12
Doctoral Dissertation: Development and Evaluation of an Advanced Regional and Global Hydrological Prediction System Enabled by Satellite Remote Sensing, Numerical Weather Forecasting, and Ensemble Data Assimilation
M.S. College of Water Resources and Architectural Engineering,
Northwest A&F University, 2010.7
Master Thesis: Application of Archimedean Copula Functions in Multi-dimensional Drought Analysis
B.S. College of Water Resources and Architectural Engineering,
Northwest A&F University, 2008.7
Undergraduate Thesis: Investigation of the Hydrological Factors in Drought Areas of Northwest Inland – an case study of Shiyanghe Basin
Research Grants and Awards
Oklahoma Space Grant Consortium/NASA EPSCOR Travel Grant, 2011
ARRC (Advanced Radar Research Center) Student Paper Award, 2013
Referred Publications
Yu Zhang, Y. Hong, J.J. Gourley, X. Wang, G.R. Brakenridge, T.D. Groeve and H. Vergara. 2014. Impact of assimilating spaceborne microwave signals for improving hydrological predictions ungauged basins. AGU Chapman Remote Sensing monograph. (In press)
Yang Hong and Y. Zhang. 2014, CHAPTER 13. Spatiotemporal scales of remote sensing precipitation. Scale Issues in Remote Sensing (pp. 257-268). Wiley and Sons.
Yu Zhang, Y. Hong, J.J. Gourley, X. Wang, et al. 2014. Hydrometeorological Analysis and Remote Sensing of Extremes: Was 2012 July Beijing Flood Event Detectable and Predictable? Journal of Hydrometeorology. (under revision after first round review)
Jiang, S., Ren, L., Hong, Y., Yang, X., Ma, M., Y. Zhang, & Yuan, F., 2014: Improvement of Multi-Satellite Real-Time Precipitation Products for Ensemble Streamflow Simulation in a Middle Latitude Basin in South China. Water Resources Management.
Yu Zhang, Y. Hong, J.J. Gourley, X. Wang, J. Gao, H. Vergara, and B. Yong. 2013, Assimilation of Passive Microwave Streamflow Signals for Improving Flood Forecasting: A First Study in Okavango River Basin, Africa, IEEE Journal of Special Topics in Applied Earth Observations and Remote Sensing. vol.PP, no.99, pp.1,16, 0.
He Chen, D. Yang., Y. Hong, J.J. Gourley, and Y. Zhang. 2013. Hydrological data assimilation with the Ensemble Square-Root-Filter: Use of streamflow observations to update model states for real-time flash flood forecasting. Advances in Water Resources, 59, 209-220.
Yang Hong, S. Khan, C. Liu, and Y. Zhang. 2012, CHAPTER 17. Global Soil Moisture Estimation Using Microwave Remote Sensing. Multi-scale Hydrological Remote Sensing: Perspectives and Applications. Taylor & Francis, Boca Raton.
Conference Presentations & Papers
Yu Zhang, Y. Hong, H. Gao, X. Xue and J. J. Gourley. Multi-scale Evaluation of the Global Hydrological Modeling System forced by Real Time Multi-satellite Precipitation. 2013 Fall AGU Meeting, San Francisco, CA, U.S., Dec 9-13, 2013. (poster)
Yu Zhang, Y. Hong, J. J. Gourley, and X. Wang. Hydrometeorological Analysis and Remote Sensing of Extremes:Was 2012 July Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems? Second China‐U.S. Symposium on Meteorology: Severe Weather and Regional Climate Variability and Predictability. Qingdao, Shandong Province, China, Jun 25‐27, 2013. (oral presentation)
Yu Zhang, Y. Hong, J. J. Gourley, X. Wang, and X. Xue. Development and Evaluation of a Global Hydrological Ensemble Forecasting System. AMS Annual Meeting, Austin, TX, U.S., Jan 3-7, 2013. (oral presentation)
Xianwu Xue, Y. Hong, J. J. Gourley, R. F. Adler, and Y. Zhang. HydroXtreme-MaP: A Global Real-time Hydrological Modeling System for Flood and Drought Monitoring and Prediction. AMS Annual Meeting, Austin, TX, U.S., Jan 3-7, 2013. (poster)
Yang Hong, Y. Zhang, X. Xue, X. Wang, J.J. Gourley, and P. Kirstetter. A Global Hydrological Ensemble Forecasting System: Uncertainty Quantification and Data Assimilation. 2012 Fall AGU Meeting, San Francisco, CA, U.S., Dec 3-7, 2012. (invited talk)
Yu Zhang, Y. Hong, J.J. Gourley, X. Wang, J. Gao and H. Vergara. Assimilation of Satellite-based AMSR-E Streamflow for Improving Flood Modeling in Okavango River Basin, Africa. 2011 Fall AGU Meeting, San Francisco, CA, U.S., Dec 5-9, 2011(poster)
Yu Zhang, Y. Hong, J.J. Gourley, X. Wang, J. Gao, H. Vergara and L. Liu. Investigation and Assimilation of Satellite-based Precipitation and Steamflow Information to Hydrological Models for Improving Flood Detection over Poorly Gauged Basin in Africa. International Symposium on Earth-Science Challenges (ISEC), Norman, OK, U.S., Sep 14-16, 2011. (poster)
Yixin Wen, Y. Hong, G. Hodges, Z. Flamig, J.J. Gourley and Y. Zhang. The coupled routing and excess storage (CREST) distributed hydrologic model sensitivity to rainfall temporal and spatial resolution. 19th international conference on GeoInformatics, Shanghai, China, Jun 24-26, 2011. (oral presentation, presenter)
Workshops
NASA SMAP (Soil Moisture Active and Passive) Workshop, Washington D.C., Oct, 2011
2012 IARC Summer School Climate System Modeling: Downscaling techniques and practical applications, Fairbanks, AK, Jul16-28, 2012
Contact Information
E-MAIL: yu.zhang@princeton.edu