1. Adelaide Research & Scholarship

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Results 21-30 of 37 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2019Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchmentsMcInerney, D.; Kavetski, D.; Thyer, M.; Lerat, J.; Kuczera, G.
2014Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticityEvin, G.; Thyer, M.; Kavetski, D.; McInerney, D.; Kuczera, G.
2013Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibrationEvin, G.; Kavetski, D.; Thyer, M.; Kuczera, G.
2014A strategy for diagnosing and interpreting hydrological model nonstationarityWestra, S.; Thyer, M.; Leonard, M.; Kavetski, D.; Lambert, M.
2022Predicting wildfire induced changes to runoff: A review and synthesis of modeling approachesPartington, D.; Thyer, M.; Shanafield, M.; McInerney, D.; Westra, S.; Maier, H.; Simmons, C.; Croke, B.; Jakeman, A.J.; Gupta, H.; Kavetski, D.
2011The open source RFortran library for accessing R from Fortran, with applications in environmental modellingThyer, M.; Leonard, M.; Kavetski, D.; Need, S.; Renard, B.
2010There are no hydrological monsters, just models and observations with large uncertainties!Kuczera, G.; Renard, B.; Thyer, M.; Kavetski, D.
2010A limited memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological modelsKuczera, G.; Kavetski, D.; Renard, B.; Thyer, M.
2009Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysisThyer, M.; Renard, B.; Kavetski, D.; Kuczera, G.; Franks, S.; Srikanthan, S.
2011Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulationRenard, B.; Kavetski, D.; Leblois, E.; Thyer, M.; Kuczera, G.; Franks, S.

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