Effective and efficient global optimization for conceptual rainfall‐runoff models Q Duan, S Sorooshian, V Gupta Water resources research 28 (4), 1015-1031, 1992 | 4282 | 1992 |
A modified soil adjusted vegetation index J Qi, A Chehbouni, AR Huete, YH Kerr, S Sorooshian Remote sensing of environment 48 (2), 119-126, 1994 | 3866 | 1994 |
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 | 2568 | 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 | 2101 | 1993 |
Artificial neural network modeling of the rainfall‐runoff process K Hsu, HV Gupta, S Sorooshian Water resources research 31 (10), 2517-2530, 1995 | 2097 | 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 | 1819 | 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 | 1814 | 1994 |
A review of global precipitation data sets: Data sources, estimation, and intercomparisons Q Sun, C Miao, Q Duan, H Ashouri, S Sorooshian, KL Hsu Reviews of Geophysics 56 (1), 79-107, 2018 | 1582 | 2018 |
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 | 1514 | 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 | 1454 | 2000 |
PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies H Ashouri, KL Hsu, S Sorooshian, DK Braithwaite, KR Knapp, LD Cecil, ... Bulletin of the American Meteorological Society 96 (1), 69-83, 2015 | 1327 | 2015 |
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 | 1276 | 1997 |
Multi-objective global optimization for hydrologic models PO Yapo, HV Gupta, S Sorooshian Journal of hydrology 204 (1-4), 83-97, 1998 | 1226 | 1998 |
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 | 1074 | 2005 |
Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system Y Hong, KL Hsu, S Sorooshian, X Gao Journal of Applied Meteorology 43 (12), 1834-1853, 2004 | 967 | 2004 |
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 | 920 | 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 | 821 | 2005 |
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 | 811 | 2003 |
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 | 809 | 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 | 800 | 1983 |