Browsing Earth and Environmental Sciences by Author "Shafii, Mahyar"
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A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework
Shafii, Mahyar; Basu, Nandita; Craig, James R.; Schiff, Sherry L.; Van Cappellen, Philippe (American Geophysical Union, 2017-04-21)Hydrologic models are often tasked with replicating historical hydrographs but may do so without accurately reproducing the internal hydrological functioning of the watershed, including the flow partitioning, which is ... -
Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption
Shafii, Mahyar; Tolson, Bryan A.; Matott, Loren Shawn (International Water Association, 2015-09-01)Bayesian inference via Markov Chain Monte Carlo (MCMC) sampling and sequential Monte Carlo (SMC) sampling are popular methods for uncertainty analysis in hydrological modelling. However, application of these methodologies ... -
Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives
Shafii, Mahyar; Tolson, Bryan A. (American Geophysical Union, 2015-05-31)The simulated outcome of a calibrated hydrologic model should be hydrologically consistent with the measured response data. Hydrologic modelers typically calibrate models to optimize residual-based goodness-of-fit measures, ... -
A priori discretization error metrics for distributed hydrologic modeling applications
Liu, Hongli; Tolson, Bryan A.; Craig, James R.; Shafii, Mahyar (Elsevier, 2016-12-01)Watershed spatial discretization is an important step in developing a distributed hydrologic model. A key difficulty in the spatial discretization process is maintaining a balance between the aggregation-induced information ... -
Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study
Shafii, Mahyar; Tolson, Bryan A.; Matott, Loren Shawn (Springer, 2014-08-01)This study compares formal Bayesian inference to the informal generalized likelihood uncertainty estimation (GLUE) approach for uncertainty-based calibration of rainfall-runoff models in a multi-criteria context. Bayesian ...