Hamid Moradkhani
Hamid Moradkhani
Professor of Civil and Environmental Engineering, Director, Center for Complex Hydrosystems Research
Bestätigte E-Mail-Adresse bei ua.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Dual state–parameter estimation of hydrological models using ensemble Kalman filter
H Moradkhani, S Sorooshian, HV Gupta, PR Houser
Advances in water resources 28 (2), 135-147, 2005
7942005
Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
H Moradkhani, KL Hsu, H Gupta, S Sorooshian
Water resources research 41 (5), 2005
5932005
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities
Y Liu, A Weerts, M Clark, HJ Hendricks Franssen, S Kumar, H Moradkhani, ...
2822012
Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter
C Montzka, H Moradkhani, L Weihermüller, HJH Franssen, M Canty, ...
Journal of hydrology 399 (3-4), 410-421, 2011
2012011
General review of rainfall-runoff modeling: model calibration, data assimilation, and uncertainty analysis
H Moradkhani, S Sorooshian
Hydrological modelling and the water cycle, 1-24, 2009
2002009
Improved streamflow forecasting using self-organizing radial basis function artificial neural networks
H Moradkhani, K Hsu, HV Gupta, S Sorooshian
Journal of Hydrology 295 (1-4), 246-262, 2004
1962004
Assessing the uncertainties of hydrologic model selection in climate change impact studies
MR Najafi, H Moradkhani, IW Jung
Hydrological processes 25 (18), 2814-2826, 2011
1952011
Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response
Y Hong, K Hsu, H Moradkhani, S Sorooshian
Water resources research 42 (8), 2006
1752006
Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method
H Moradkhani, CM DeChant, S Sorooshian
Water Resources Research 48 (12), 2012
1692012
Hydrologic remote sensing and land surface data assimilation
H Moradkhani
Sensors 8 (5), 2986-3004, 2008
1632008
Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting
CM DeChant, H Moradkhani
Water Resources Research 48 (4), 2012
1352012
Radiance data assimilation for operational snow and streamflow forecasting
C Dechant, H Moradkhani
Advances in Water Resources 34 (3), 351-364, 2011
1162011
Drought analysis under climate change using copula
S Madadgar, H Moradkhani
Journal of hydrologic engineering 18 (7), 746-759, 2013
1112013
A Bayesian framework for probabilistic seasonal drought forecasting
S Madadgar, H Moradkhani
Journal of Hydrometeorology 14 (6), 1685-1705, 2013
1022013
Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation
MA Parrish, H Moradkhani, CM DeChant
Water Resources Research 48 (3), 2012
972012
Snow water equivalent prediction using Bayesian data assimilation methods
M Leisenring, H Moradkhani
Stochastic Environmental Research and Risk Assessment 25 (2), 253-270, 2011
962011
Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation
CM DeChant, H Moradkhani
Hydrology and Earth System Sciences, 2011
932011
Towards improved post‐processing of hydrologic forecast ensembles
S Madadgar, H Moradkhani, D Garen
Hydrological Processes 28 (1), 104-122, 2014
912014
Statistical downscaling of precipitation using machine learning with optimal predictor selection
MR Najafi, H Moradkhani, SA Wherry
Journal of Hydrologic Engineering 16 (8), 650-664, 2011
842011
Spatio-temporal drought forecasting within Bayesian networks
S Madadgar, H Moradkhani
Journal of Hydrology 512, 134-146, 2014
822014
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