Browsing University of Waterloo by Author "Tolson, Bryan A."
Now showing items 1-7 of 7
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Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset
Liu, Hongli; Thiboult, Antoine; Tolson, Bryan A.; Anctil, François; Mai, Juliane (Elsevier, 2019-01)Successful data assimilation depends on the accurate estimation of forcing data uncertainty. Forcing data uncertainty is typically estimated based on statistical error models. In practice, the hyper-parameters of statistical ... -
Event-based model calibration approaches for selecting representative distributed parameters in semi-urban watersheds
Awol, Frezer Seid; Coulibaly, Paulin; Tolson, Bryan A. (Elsevier, 2018-08-01)The objective of this study is to propose an event-based calibration approach for selecting representative semi-distributed hydrologic model parameters and to enhance peak flow prediction at multiple sites of a semi-urban ... -
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, ... -
The pie sharing problem: Unbiased sampling of N+1 summative weights
Mai, Juliane; Craig, James R.; Tolson, Bryan A. (Elsevier, 2022-02)A simple algorithm is provided for randomly sampling a set of N+1 weights such that their sum is constrained to be equal to one, analogous to randomly subdividing a pie into N+1 slices where the probability distribution ... -
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 ...