Tyler Smith
Tyler Smith
Associate Professor of Civil & Environmental Engineering, Clarkson University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques
TJ Smith, LA Marshall
Water Resources Research 44 (12), 2008
Modeling residual hydrologic errors with Bayesian inference
T Smith, L Marshall, A Sharma
Journal of Hydrology 528, 29-37, 2015
Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments
T Smith, A Sharma, L Marshall, R Mehrotra, S Sisson
Water Resources Research 46 (12), 2010
Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework
TJ Smith, LA Marshall
Environmental Modelling & Software 25 (6), 691-701, 2010
Using field data to inform and evaluate a new model of catchment hydrologic connectivity
T Smith, L Marshall, B McGlynn, K Jencso
Water Resources Research 49 (10), 6834-6846, 2013
Predicting hydrologic response through a hierarchical catchment knowledgebase: A Bayes empirical Bayes approach
T Smith, L Marshall, A Sharma
Water Resources Research 50 (2), 1189-1204, 2014
Tools for investigating the prior distribution in Bayesian hydrology
Y Tang, L Marshall, A Sharma, T Smith
Journal of Hydrology 538, 551-562, 2016
Understanding the role of hydrologic model structures on evapotranspiration-driven sensitivity
DI Jayathilake, T Smith
Hydrological Sciences Journal 65 (9), 1474-1489, 2020
Assessing the impact of PET estimation methods on hydrologic model performance
DI Jayathilake, T Smith
Hydrology Research 52 (2), 373-388, 2021
Diagnostic calibration and cross‐catchment transferability of a simple process‐consistent hydrologic model
T Smith, K Hayes, L Marshall, B McGlynn, K Jencso
Hydrological Processes 30 (26), 5027-5038, 2016
Flood mapping uncertainty from a restoration perspective: A practical case study
CG Rampinelli, I Knack, T Smith
Water 12 (7), 1948, 2020
Typecasting catchments: Classification, directionality, and the pursuit of universality
T Smith, L Marshall, B McGlynn
Advances in water resources 112, 245-253, 2018
Calibrating hydrologic models in flow‐corrected time
T Smith, L Marshall, B McGlynn
Water Resources Research 50 (1), 748-753, 2014
Predicting the temporal transferability of model parameters through a hydrological signature analysis
DI Jayathilake, T Smith
Frontiers of earth science 14, 110-123, 2020
Identifying the influence of systematic errors in potential evapotranspiration on rainfall–runoff models
DI Jayathilake, T Smith
Journal of Hydrologic Engineering 27 (2), 04021047, 2022
Conceptual hydrologic modeling: insights into bayesian analysis, model development, and predictions in ungauged basins
TJ Smith
Montana State University, 2012
A conceptual precipitation-runoff modeling suite: Model selection, calibration and predictive uncertainty assessment
TJ Smith
Bozeman, MT: Montana State University. 177 p. Thesis., 2008
How to select an objective function using information theory
TO Hodson, TM Over, TJ Smith, LM Marshall
arXiv preprint arXiv:2212.06566, 2022
Assessment of groundwater lowering for urban infrastructure works, a case study in Sumbe, Angola/Africa.
CG Rampinelli, TJ Smith, AEM Lima, C Silva de AGUIAR, C Diniz, ...
Journal of Water Resources/Recursos Hídricos 42 (2), 2021
Model parameter sensitivity across time scales
C Rampinelli, T Smith
AGU Fall Meeting Abstracts 2021, H52C-02, 2021
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