| Effective and efficient global optimization for conceptual rainfall‐runoff models Q Duan, S Sorooshian, V Gupta Water resources research 28 (4), 1015-1031, 1992 | 4367 | 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 | 4042 | 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 | 2662 | 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 | 2146 | 1993 |
| Artificial neural network modeling of the rainfall‐runoff process K Hsu, HV Gupta, S Sorooshian Water resources research 31 (10), 2517-2530, 1995 | 2126 | 1995 |
| 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 | 1865 | 1994 |
| 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 | 1854 | 1998 |
| 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 | 1705 | 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 | 1532 | 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 | 1495 | 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 | 1397 | 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 | 1319 | 1997 |
| Multi-objective global optimization for hydrologic models PO Yapo, HV Gupta, S Sorooshian Journal of hydrology 204 (1-4), 83-97, 1998 | 1242 | 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 | 1094 | 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 | 998 | 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 | 930 | 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 | 842 | 2005 |
| 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 | 836 | 1996 |
| 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 | 819 | 2003 |
| 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 | 811 | 1983 |