Papers in Review
Najafi M.R., and H. Moradkhani, A Hierarchical Bayesian Approach for the Analysis of Climate Change Impact on Runoff Extremes.
Madadgar, S. and H. Moradkhani, A Bayesian Framework for Probabilistic Seasonal Drought Forecasting
Najafi M.R., and H. Moradkhani, Analysis of Runoff Extremes using Spatial Hierarchical Bayesian Modeling.
Montzka, C., J. Grant, H. Moradkhani, H. Hendricks Franssen, L. Weihermüller, M. Drusch, and H. Vereecken, Estimation of radiative transfer parameters from SMOS brightness temperatures using data assimilation: implication on soil moisture retrieval.
Jaeger, W.K., A.J. Plantinga, H. Chang, G. Grant, D. Hulse, J. McDonnell, H. Moradkhani, A.T. Morzillo, P. Mote, A. Nolin, M. Santelmann, J. Wu (in press), Toward a formal definition of water scarcity in natural-human systems, Water Resources Research.
Samadi S.Z., C.A. Wilson, H. Moradkhani, S. Gummeneni, (2013), Uncertainty Analysis of Statistical Downscaling Models Using Hadley Centre Coupled Model Journal of Theoretical and Applied Climatology, 1–18, doi:10.1007/s00704-013-0844-x.
Fattahi, M.H., N. Talebbeydokhti, H. Moradkhani, Nikooee (in Press), Revealing the chaotic nature of river flow, Journal of Science and Technology.
Chang, H. I. Jung, A. Strecker, D. Wise, M. Lafranz, V. Shandas, H. Moradkhani, A. Yeakly, Y. Pan, R. Bean, G. Johnson, M. Psaris (2013), Water Supply, Demand, and Quality Indicators for Assessing the Spatial Distribution of Water Resource Vulnerability in the Columbia River Basin, USA Atmosphere and Ocean, 1–18, http://dx.doi.org/10.1080/07055900.2013.777896.
Moradkhani H., C.M. DeChant and S. Sorooshian (2012), Evolution of Ensemble Data Assimilation for Uncertainty Quantification using the Particle Filter-Markov Chain Monte Carlo Method, Water Resources Research, VOL. 48, W12520, 14 PP., doi:10.1029/2012WR012144.
Liu, Y., A.H. Weerts, M. Clark, H.J. Hendricks Franssen, S. Kumar, H. Moradkhani, D.J. Seo, D. Schwanenberg, P. Smith, A. I. J. M. van Dijk, N. van Velzen, M. He, H. Lee, S. J. Noh, O. Rakovec, P. Restrepo, (2012), Advancing Data Assimilation in Operational Hydrologic Forecasting: Progresses, Challenges, and Emerging Opportunities, Hydrology and Earth System Science, 16, 1–25, doi:10.5194/hess-16-1-2012.
Jung, I., H. Chang, and H. Moradkhani (2011), Quantifying Uncertainty in Urban Flooding Analysis by Combined Effect of Climate and Land use Change Scenarios, Hydrology and Earth System Science 15, 617-633, doi:10.5194/hess-15-617.
Najafi, M.R., Z. Kavianpour, B. Najafi, M.R. Kavianpour, and H. Moradkhani, (2011), Air Demand in Gated Tunnels, a Bayesian Approach to Merge Various Predictions, Journal of Hydroinformatics, 14(1), 152–166, doi:10.2166/hydro.2011.108.
Risley, J., H. Moradkhani, L. Hay, and S. Markstrom (2011), Statistical Trends in Watershed Scale Response to Climate Change in Selected Basins Across the United States”, AMS Earth Interaction, 15, 617–633.
Montzka, C., H. Moradkhani, L. Weihermuller, M. Canty, H.J. Hendricks Franssen, H. Vereecken (2011), Hydraulic Parameter Estimation by Remotely-sensed top Soil Moisture Observations with the Particle Filter, Journal of Hydrology, 399, 410–421.
DeChant, C., and H. Moradkhani (in production), Hydrologic Prediction and Uncertainty Quantification, Handbook of Engineering Hydrology, Handbook of Engineering Hydrology, Taylor and Francis.
Moradkhani, H., and T. Meskele (2009), Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Response, in Satellite Applications for Surface Hydrology, Springer, Water Science and Technology Library, DOI 10.1007/978-90-481-2915-7, pp 229-242.
Moradkhani, H. and S. Sorooshian (2008), General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis, in Hydrological Modeling and Water Cycle, Coupling of the Atmospheric and Hydrological Models, Springer, Water Science and Technology Library, Volume 63, pp 1-23.
Other Refereed Publications
Montzka, C., Hendricks-Franssen, H.-J., Drusch, M., Moradkhani, H., Weihermüller, L., et al., Vanderborght, J., and Vereecken, H., “Estimation Of Radiative Transfer Parameters For Soil Moisture Retrieval From SMOS Brightness Temperatures – A Synthetic 1d Experiment With The Particle Filter”, IEEE International Geosciences and Remote Sensing Symposium, Vancouver, Canada, August 2011.
Najafi, M., and H. Moradkhani, "Improved Ensemble Streamflow Prediction using a New ESP Weighting Scheme", EWRI Congress, Palm Spring, CA, May 2011.Madadgar, S., Moradkhani, H., " Improving the Ensemble Streamflow Prediction by Adjusting Hydrologic Ensemble Traces ", EWRI Congress, Palm Spring, CA, May 2011.
Najafi, M.,Jung, I., " Combined Effect of Global Climate Projection and Hydrologic Model Uncertainties on the Future Changes of Streamflow", EWRI Congress, Providence, RI, 2010.
Jung, I., Moradkhani, H., Chang, H., "Quantifying Hydrological Uncertainty for Rain- and Snow-Dominated Watersheds with Adaptation Strategy", EWRI Congress, Providence, RI, 2010.
Najafi, M.,, "Optimal Selection of GCM Predictors combined with a new procedure for Statistical Downscaling of Precipitation", EWRI Congress, Providence, RI, 2010.
Sillars, D., H. Moradkhani, N., Tymvios, "Field Investigation of Fish Passageway Success Factors in Oregon", Transportation Research Board Annual Meeting, Washington DC., Jan. 2010.
Montzka, C., M., Canty, H.H. Franssen, H. Moradkhani, L. Weihermüller and H. Vereecken, "Assessing the value of remotely sensed top soil moisture measurements for soil moisture profile estimation with data assimilation approaches", ESA living planet Symposium, Norway, June 2009.
Ebtehaj, M., and H. Moradkhani, "Parameter Uncertainty Estimation of Hydrologic Models Using Bootstrap Resampling", EWRI Congress, Kansas City, May 2009.
Meskele, T., and H. Moradkhani, "Impacts of different Rainfall Estimates on Hydrological simulation", EWRI Congress, Kansas City, May 2009.
Meier, M., and H. Moradkhani, "Statistical or Ensemble Seasonal Streamflow Forecast? An Intercomparison and Evaluation of Current Forecasting Procedures", EWRI Congress, Kansas City, May 2009.
Moradkhani, H., K., Hsu, and S. Sorooshian, "Toward Improved Hydrologic Prediction with Reduced Uncertainty using Sequential Multi-Model Combination", EWRI Congress, Hawaii, May 2008.
Quinn, S., H., Moradkhani, D., Sillars and T., Smith, "Lessons from Fish Passage Waterways in Oregon and Factors for Improving their Construction", EWRI Congress, Hawaii, May 2008.
Ashouri, H., A. Abrishamchi, H., Moradkhani, and M. Tajrishy, "Assessment of Interannual and Interdecadal Climate Variability Effects on Water Supply in Zayandehrood River Basin, Iran", The First International Conference on Water Resources and Climate Change, Sultanate of Oman, 2008.
Moradkhani, H., and Sorooshian, S., "Ensemble Hydrologic Prediction: in “High Performance Computing for Hydrologic Sciences”, Consortium of Universities for Advancement of Hydrologic Science (CUAHSI), 2006.
Moradkhani, H., N.K. Ajami, K.L. Hsu, S. Sorooshian, “On Particle Filtering Monte Carlo Approach to Sequential Hydrolometeorological Data Assimilation”, proceeding of American Meteorological Society, San Diego, CA, Jan 2005.
Ajami, N.K., Q. Duan, H. Moradkhani, S. Sorooshian, “Recursive Bayesian Model Combination for Streamflow Forecasting”, proceeding of American Meteorological Society, San Diego, CA, Jan 2005.
Moradkhani, H., Sorooshian, S., Gupta, H., Houser, P.R., Hsu, K., "Sequential Data Assimilation framework for Hydrologic State-Parameter Estimation and Ensemble Forecasting", CAHMDA-II, International Workshop on The Terrestrial Water Cycle: Modeling and Data Assimilation Across Catchment Scales, October 2004.
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