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Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- H. Gupta, H. Kling, K. Yilmaz, G. Martinez
- Environmental Science
- 20 October 2009
Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration
- H. Gupta, S. Sorooshian, Patrice Ogou Yapo
- Engineering
- 1 April 1999
TLDR
Evaluation of PERSIANN system satellite-based estimates of tropical rainfall
- S. Sorooshian, K. Hsu, Xiaogang Gao, H. Gupta, B. Imam, D. Braithwaite
- Environmental Science
- 1 September 2000
Abstract PERSIANN, an automated system for Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks, has been developed for the estimation of rainfall from…
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information
- H. Gupta, S. Sorooshian, Patrice Ogou Yapo
- Environmental Science
- 1 April 1998
TLDR
Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks
- K. Hsu, Xiaogang Gao, S. Sorooshian, H. Gupta
- Environmental Science, Mathematics
- 1 September 1997
Abstract A system for Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) is under development at The University of Arizona. The current core of this…
Multi-objective global optimization for hydrologic models
- Patrice Ogou Yapo, H. Gupta, S. Sorooshian
- Computer Science
- 30 January 1998
Dual state-parameter estimation of hydrological models using ensemble Kalman filter
- H. Moradkhani, S. Sorooshian, H. Gupta, P. Houser
- Engineering
- 1 February 2005
Artificial Neural Network Modeling of the Rainfall‐Runoff Process
- K. Hsu, H. Gupta, S. Sorooshian
- Engineering
- 1 October 1995
An artificial neural network (ANN) is a flexible mathematical structure which is capable of identifying complex nonlinear relationships between input and output data sets. ANN models have been found…
Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
- H. Moradkhani, K. Hsu, H. Gupta, S. Sorooshian
- Engineering
- 1 May 2005
TLDR
Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
- J. Vrugt, C. Braak, H. Gupta, B. Robinson
- Computer Science
- 2009
TLDR
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