Mark Thyer

发表

A hidden state Markov model for identifying the long term dynamics of indoor household water uses

George Kuczera, Peter J Coombes, Lijie Cui, 2007 .

Optimisation of pump operations in water distribution systems taking into account the seasonality of the demand

Angus R. Simpson, Angela Marchi, Mark Thyer, 2012 .

A hybrid framework for quantifying the influence of data in hydrological model calibration.

Mark Thyer, David McInerney, David P. Wright, 2018 .

The impact of end-use dynamics on urban water system design criteria

Peter J Coombes, Mark Thyer, Mj Hardy, 2007 .

A general Bayesian framework for calibrating and evaluating stochastic models of annual multi-site hydrological data

George Kuczera, Mark Thyer, Andrew Frost, 2007 .

Incorporating Long-Term Climate Variability into a Short-Timescale Rainfall Model Using a Hidden State Markov Model

Martin F. Lambert, George Kuczera, Mark Thyer, 2002 .

Characterizing model error in conceptual rainfall-runoff models using storm-dependent parameters

George Kuczera, Dmitri Kavetski, Mark Thyer, 2005 .

A behavioural approach to stochastic end use modelling

George Kuczera, Tom Micevski, Peter J Coombes, 2011 .

Improving representation of zero flows in probabilistic hydrological modelling of ephemeral catchments

George Kuczera, Dmitri Kavetski, Mark Thyer, 2021 .

Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions

Dmitri Kavetski, Mark Thyer, David McInerney, 2021, Journal of Hydrology.

An open-source R-package and web application for high-quality probabilistic predictions in hydrology

Dmitri Kavetski, Mark Thyer, David McInerney, 2021 .

A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model

Martin F. Lambert, Bryson C. Bates, Mark Thyer, 2018 .

The Importance of Spatiotemporal Variability in Irrigation Inputs for Hydrological Modeling of Irrigated Catchments

George Kuczera, Dmitri Kavetski, Mark Thyer, 2018, Water Resources Research.

Modeling long‐term persistence in hydroclimatic time series using a hidden state Markov Model

George Kuczera, Mark Thyer, G. Kuczera, 2000 .

Influential point detection diagnostics in the context of hydrological model calibration

Mark Thyer, Seth Westra, M. Thyer, 2015 .

Goulburn River experimental catchment data set

Mark Thyer, Greg Hancock, Jetse D. Kalma, 2007 .

Natural hazards in Australia: droughts

Bellie Sivakumar, Mark Thyer, Jason P. Evans, 2016, Climatic Change.

Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments

George Kuczera, Dmitri Kavetski, Mark Thyer, 2019, Water Resources Research.

A strategy for diagnosing and interpreting hydrological model nonstationarity

Martin F. Lambert, Dmitri Kavetski, Mark Thyer, 2014 .

A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2. Real data analysis

George Kuczera, Mark Thyer, G. Kuczera, 2003 .

Incorporating seasonality into event-based joint probability methods for predicting flood frequency: A hybrid causative event approach

Martin F. Lambert, Mark Thyer, Andrew Metcalfe, 2016 .

A general regional frequency analysis framework for quantifying local-scale climate effects: A case study of ENSO effects on Southeast Queensland rainfall

Michel Lang, Benjamin Renard, Mark Thyer, 2014 .

Bayesian total error analysis for hydrological models: preliminary evaluation using multi-site catchment rainfall data

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2007 .

Stochastic Generation of Monthly Rainfall Data

George Kuczera, Mark Thyer, Thomas A. McMahon, 2009 .

Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors

George Kuczera, Dmitri Kavetski, Mark Thyer, 2017 .

Modelling Long Term Persistence in Rainfall Time Series: Sydney Rainfall Case Study

George Kuczera, Mark Thyer, 1999 .

Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

George Kuczera, Dmitri Kavetski, Mark Thyer, 2014 .

Characterizing Errors in Areal Rainfall Estimates: Application to Uncertainty Quantification and Decomposition in Hydrologic Modelling

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2009 .

The National Airborne Field Experiment Data Sets

Yann Kerr, Edward J. Kim, Venkat Lakshmi, 2007 .

State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application

Dmitri Kavetski, Holger R. Maier, Graeme C. Dandy, 2018 .

Development of Stochastic Multisite Rainfall and Urban Water Demand for the Central Coast Region of New South Wales

George Kuczera, Peter J Coombes, Mark Thyer, 2003 .

Climate‐informed stochastic hydrological modeling: Incorporating decadal‐scale variability using paleo data

George Kuczera, Mark Thyer, Stewart W. Franks, 2011 .

Evaluating post-processing approaches for monthly and seasonal streamflow forecasts

George Kuczera, Dmitri Kavetski, Mark Thyer, 2018, Hydrology and Earth System Sciences.

Probabilistic optimization for conceptual rainfall-runoff models: A comparison of the shuffled complex evolution and simulated annealing algorithms

George Kuczera, Bryson C. Bates, Mark Thyer, 1999 .

Modelling Annual Rainfall Using a Hidden-State Markov Model

George Kuczera, Mark Thyer, Thomas A. McMahon, 2002 .

Seasonal stochastic rainfall modelling using climate indices: A Bayesian Hierarchical Model

George Kuczera, Mark Thyer, Benjamin J. Henley, 2007 .

A study into the supply, demand, economic, social and institutional aspects of optimising water supply to metropolitan Adelaide – preliminary research findings: Summary report from Project U2.2. Technical Report 14/20

Graeme C. Dandy, Rosemary Leonard, Mark Thyer, 2014 .