Hoshin Vijai Gupta
Hoshin Vijai Gupta
Other namesVijai Kumar Gupta, Hoshin Gupta, Hoshin V Gupta
Regents Professor, The University of Arizona
Verified email at
Cited by
Cited by
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
HV Gupta, H Kling, KK Yilmaz, GF Martinez
Journal of hydrology 377 (1-2), 80-91, 2009
Effective and efficient global optimization for conceptual rainfall‐runoff models
Q Duan, S Sorooshian, V Gupta
Water resources research 28 (4), 1015-1031, 1992
Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration
HV Gupta, S Sorooshian, PO Yapo
Journal of hydrologic engineering 4 (2), 135-143, 1999
Shuffled complex evolution approach for effective and efficient global minimization
QY Duan, VK Gupta, S Sorooshian
Journal of optimization theory and applications 76, 501-521, 1993
Artificial neural network modeling of the rainfall‐runoff process
K Hsu, HV Gupta, S Sorooshian
Water resources research 31 (10), 2517-2530, 1995
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information
HV Gupta, S Sorooshian, PO Yapo
Water Resources Research 34 (4), 751-763, 1998
Optimal use of the SCE-UA global optimization method for calibrating watershed models
Q Duan, S Sorooshian, VK Gupta
Journal of hydrology 158 (3-4), 265-284, 1994
A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters
JA Vrugt, HV Gupta, W Bouten, S Sorooshian
Water resources research 39 (8), 2003
Evaluation of PERSIANN system satellite-based estimates of tropical rainfall
S Sorooshian, KL Hsu, X Gao, HV Gupta, B Imam, D Braithwaite
Bulletin of the American Meteorological Society 81 (9), 2035-2046, 2000
Precipitation estimation from remotely sensed information using artificial neural networks
K Hsu, X Gao, S Sorooshian, HV Gupta
Journal of Applied Meteorology and Climatology 36 (9), 1176-1190, 1997
Multi-objective global optimization for hydrologic models
PO Yapo, HV Gupta, S Sorooshian
Journal of hydrology 204 (1-4), 83-97, 1998
A decade of Predictions in Ungauged Basins (PUB)—a review
M Hrachowitz, HHG Savenije, G Blöschl, JJ McDonnell, M Sivapalan, ...
Hydrological sciences journal 58 (6), 1198-1255, 2013
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
Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework
Y Liu, HV Gupta
Water resources research 43 (7), 2007
Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
DP Boyle, HV Gupta, S Sorooshian
Water Resources Research 36 (12), 3663-3674, 2000
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
“Panta Rhei—everything flows”: change in hydrology and society—the IAHS scientific decade 2013–2022
A Montanari, G Young, HHG Savenije, D Hughes, T Wagener, LL Ren, ...
Hydrological sciences journal 58 (6), 1256-1275, 2013
Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data
PO Yapo, HV Gupta, S Sorooshian
Journal of hydrology 181 (1-4), 23-48, 1996
Automatic calibration of conceptual rainfall‐runoff models: The question of parameter observability and uniqueness
S Sorooshian, VK Gupta
Water resources research 19 (1), 260-268, 1983
Effective and efficient algorithm for multiobjective optimization of hydrologic models
JA Vrugt, HV Gupta, LA Bastidas, W Bouten, S Sorooshian
Water resources research 39 (8), 2003
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