Παρακολούθηση
Tyler Smith
Tyler Smith
Associate Professor of Civil & Environmental Engineering, Clarkson University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα clarkson.edu
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Παρατίθεται από
Παρατίθεται από
Έτος
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
1432008
Modeling residual hydrologic errors with Bayesian inference
T Smith, L Marshall, A Sharma
Journal of Hydrology 528, 29-37, 2015
1162015
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
1122010
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
442010
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
412013
Tools for investigating the prior distribution in Bayesian hydrology
Y Tang, L Marshall, A Sharma, T Smith
Journal of Hydrology 538, 551-562, 2016
292016
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
292014
Understanding the role of hydrologic model structures on evapotranspiration-driven sensitivity
DI Jayathilake, T Smith
Hydrological Sciences Journal 65 (9), 1474-1489, 2020
172020
Assessing the impact of PET estimation methods on hydrologic model performance
DI Jayathilake, T Smith
Hydrology Research 52 (2), 373-388, 2021
152021
Flood mapping uncertainty from a restoration perspective: A practical case study
CG Rampinelli, I Knack, T Smith
Water 12 (7), 1948, 2020
132020
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
132016
Typecasting catchments: Classification, directionality, and the pursuit of universality
T Smith, L Marshall, B McGlynn
Advances in water resources 112, 245-253, 2018
92018
Calibrating hydrologic models in flow‐corrected time
T Smith, L Marshall, B McGlynn
Water Resources Research 50 (1), 748-753, 2014
72014
Predicting the temporal transferability of model parameters through a hydrological signature analysis
DI Jayathilake, T Smith
Frontiers of Earth Science 14, 110-123, 2020
62020
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
42022
USING SOIL MOISTURE TRENDS ACROSS TOPOGRAPHIC GRADIENTS TO EXAMINE CONTROLS ON SEMI-ARID ECOSYSTEM DYNAMICS By BOISE STATE UNIVERSITY GRADUATE COLLEGE,(May)
TJ Smith
42010
Conceptual hydrologic modeling: insights into bayesian analysis, model development, and predictions in ungauged basins
TJ Smith
Montana State University, 2012
22012
A conceptual precipitation-runoff modeling suite: Model selection, calibration and predictive uncertainty assessment
TJ Smith
Montana State University-Bozeman, College of Engineering, 2008
12008
" Cliff Ecology: Pattern and Process in Cliff Ecosystems" by Doug Larson, Uta Matthes, and Peter Kelly. 2000.[book review]
T Smith
The Canadian Field-Naturalist 117 (4), 672-672, 2003
12003
How to select an objective function using information theory
TO Hodson, TM Over, TJ Smith, LM Marshall
Water Resources Research 60 (5), e2023WR035803, 2024
2024
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