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Mark Thyer
Mark Thyer
Associate Professor, University of Adelaide
Bestätigte E-Mail-Adresse bei adelaide.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors
B Renard, D Kavetski, G Kuczera, M Thyer, SW Franks
Water Resources Research 46 (5), 2010
8712010
Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
G Kuczera, D Kavetski, S Franks, M Thyer
Journal of Hydrology 331 (1-2), 161-177, 2006
4102006
Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
M Thyer, B Renard, D Kavetski, G Kuczera, SW Franks, S Srikanthan
Water Resources Research 45 (12), 2009
4072009
Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
M Thyer, B Renard, D Kavetski, G Kuczera, SW Franks, S Srikanthan
Water Resources Research 45 (12), 2009
4072009
Natural hazards in Australia: droughts
AS Kiem, F Johnson, S Westra, A van Dijk, JP Evans, A O’Donnell, ...
Climatic Change 139, 37-54, 2016
2642016
Probabilistic optimization for conceptual rainfall-runoff models: a comparison of the shuffled complex evolution and simulated annealing algorithms
M Thyer, G Kuczera, BC Bates
Water Resources Research 35 (3), 767-773, 1999
2341999
Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation
B Renard, D Kavetski, E Leblois, M Thyer, G Kuczera, SW Franks
Water Resources Research 47 (11), 2011
2292011
A strategy for diagnosing and interpreting hydrological model nonstationarity
S Westra, M Thyer, M Leonard, D Kavetski, M Lambert
Water Resources Research 50 (6), 5090-5113, 2014
1812014
Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity
G Evin, M Thyer, D Kavetski, D McInerney, G Kuczera
Water Resources Research 50 (3), 2350-2375, 2014
1702014
A global analysis of the asymmetric effect of ENSO on extreme precipitation
X Sun, B Renard, M Thyer, S Westra, M Lang
Journal of Hydrology 530, 51-65, 2015
1592015
Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors
D McInerney, M Thyer, D Kavetski, J Lerat, G Kuczera
Water Resources Research 53 (3), 2199-2239, 2017
1432017
Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model
M Thyer, G Kuczera
Water Resources Research 36 (11), 3301-3310, 2000
1372000
Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration
G Evin, D Kavetski, M Thyer, G Kuczera
Water Resources Research 49 (7), 4518-4524, 2013
1162013
Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration
G Evin, D Kavetski, M Thyer, G Kuczera
Water Resources Research 49 (7), 4518-4524, 2013
1162013
Goulburn River experimental catchment data set
C Rüdiger, G Hancock, HM Hemakumara, B Jacobs, JD Kalma, ...
Water Resources Research 43 (10), 2007
1072007
A general regional frequency analysis framework for quantifying local-scale climate effects: A case study of ENSO effects on Southeast Queensland rainfall
X Sun, M Thyer, B Renard, M Lang
Journal of Hydrology 512, 53-68, 2014
962014
There are no hydrological monsters, just models and observations with large uncertainties!
G Kuczera, B Renard, M Thyer, D Kavetski
Hydrological Sciences Journal–Journal des Sciences Hydrologiques 55 (6), 980-991, 2010
952010
There are no hydrological monsters, just models and observations with large uncertainties!
G Kuczera, B Renard, M Thyer, D Kavetski
Hydrological Sciences Journal–Journal des Sciences Hydrologiques 55 (6), 980-991, 2010
952010
Quantifying parameter uncertainty in stochastic models using the Box–Cox transformation
M Thyer, G Kuczera, QJ Wang
Journal of Hydrology 265 (1-4), 246-257, 2002
912002
A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. Model calibration using a Bayesian approach
M Thyer, G Kuczera
Journal of Hydrology 275 (1-2), 12-26, 2003
902003
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