Hoshin V. Gupta

Evaluation of PERSIANN System Satellite–Based Estimates of Tropical Rainfall

PERSIANN, an automated system for Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks, has been developed for the estimation of rainfall f...

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

Several contributions to the hydrological literature have brought into question the continued usefulness of the classical paradigm for hydrologic model calibration. With the gro...

On the development of regionalization relationships for lumped watershed models: The impact of ignoring sub-basin scale variability

Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods

Automatic methods for model calibration seek to take advantage of the speed and power of digital computers, while being objective and relatively easy to implement. However, they...

Reconciling theory with observations: elements of a diagnostic approach to model evaluation

Abstract This paper discusses the need for a well‐considered approach to reconciling environmental theory with observations that has clear and compelling diagnostic power. This ...

Mapping model behaviour using Self-Organizing Maps

Abstract. Hydrological model evaluation and identification essentially involves extracting and processing information from model time series. However, the type of information ex...