School of Civil, Environmental and Mining Engineering
Faculty of Engineering, Computer and Mathematical Sciences
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
One of the main contributions of Dmitri's research work has been the development of Bayesian Total Error Analysis (BATEA) - a comprehensive framework for parameter estimation and probabilistic prediction accounting for data and model uncertainties. BATEA is currently applied in hydrological modelling, including in the operational seasonal forecasting system of the Australian Bureau of Meteorology. Additional appplications are developing in river system modelling, irrigation modelling and other areas of environmental engineering.
Dmitri's broader interests include mathematical modelling of surface and subsurface hydrological systems, development of numerically robust rainfall-runoff and snow models, and more generally the design of robust and computationally efficient numerical algorithms for nonlinear differential equations and for nonlinear optimization.
Dmitri's international collaborations include the Swiss Federal Institute for Aquatic Science and Technology (EAWAG), CEMAGREF (Paris and Lyon, France), US National Center for Atmospheric Research (NCAR), Environmental Hydraulics Institute of Cantabria (Santander, Spain), and other institutions worldwide.
From 2012 onwards, Dmitri joined the School of Civil, Environmental and Mining Engineering at the University of Adelaide.
Bayesian inference and prediction in hydrology and environmental modelling. Development of novel Bayesian and Monte Carlo techniques for parameter estimation, uncertainty analysis and predictive applications. Areas of application focus on hydrological models and river system models.
Modelling in hydrology and environmental engineering. Selection of governing equations and process representations in hydrological and snow models, including scientifically defensible hypothesis testing. Model development, optimisation and testing.
Applied numerical and statistical analysis in environmental engineering. Design and implementation of accurate, robust and computationally efficient numerical algorithms and software. Solution of nonlinear differential equations, numerical integration, nonlinear optimisation problems, and others. Areas of application have included Richards equation for groundwater simulations, rainfall-runoff models, CO2 geosequestration models, and others.
Date Position Institution name 2012 Professor of Civil and Environmental Engineering University of Adelaide 2010 - 2012 Senior Research Fellow University of Newcastle Australia 2007 - 2010 Research Fellow University of Newcastle Australia 2004 - 2007 Postdoctoral Research Princeton University
Awards and Achievements
Date Type Title Institution Name Country Amount 2016 Award Outstanding Publication in Hydrological Modeling US National Center for Atmospheric Research (NCAR) United States — 2014 Award Research Spotlight Award from American Geophysical Union (top 5% of papers in AGU) for Westra et al (2014) American Geophysical Union United States — 2014 Award Editors Highlight Award from Water Resources Research (top 5% of papers in WRR) for Evin et al (2014) Water Resources Research United States — 2012 Award South Australia Young Tall Poppy Science Award Australian Institute of Policy and Science Australia — 2011 Award Editors’ Choice Award in Water Resources Research American Geophysical Union United States — 2011 Award Editors’ Citation for Excellence in Refereeing for Water Resources Research American Geophysical Union United States — 2011 Award 2011 Researcher of the Year Award http://www.newcastle.edu.au Australia — 2011 Award Vice-Chancellor’s Award for Research Excellence University of Newcastle Australia — 2010 Award Pro Vice-Chancellor’s Award for Research Excellence, Faculty of Engineering and Built Environment University of Newcastle Australia —
Date Institution name Country Title 2006 University of Newcastle Australia Australia Doctor of Philosophy in Engineering (Environmental) 2000 University of Newcastle Australia Australia Bachelor of Engineering (Environmental)
Year Citation 2018 Kavetski, D. (2018). Parameter estimation and predictive uncertainty quantification in hydrological modelling. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 481-522). Berlin, Heidelberg: Springer.
2016 Kuczera, G., Kavetski, D., Renard, B., & Thyer, M. (2016). Bayesian Methods. In V. Singh (Ed.), Handbook of Applied Hydrology, Second Edition (Second ed., pp. 10 pages). New York, USA: McGraw-Hill. 2003 Kavetski, D., Franks, S. W., & Kuczera, G. (2003). Confronting Input Uncertainty in Environmental Modelling. In Q. Duan, H. V. Gupta, S. Sorooshian, A. N. Rousseau, & R. Turcotte (Eds.), Calibration of Watershed Models (pp. 49-68). American Geophysical Union.
Report for External Bodies
Year Citation 2019 McInerney, D. J., Thyer, M. A., & Kavetski, D. (2019). Technical Note on Improving Seamless Streamflow Forecasting using Multi-time scale Hydrological Residual Error Modelling. Australian Bureau of Meteorology. 2018 McInerney, D., Thyer, M. A., & Kavetski, D. (2018). Assessment of DEW Surface Water Team Modelling Approaches. South Australian Department of Environment and Water (DEW). 2011 Tuteja, N. K., Shin, D., Laugesen, R., Khan, U., Shao, Q., Wang, E., . . . Le, B. (2011). Experimental evaluation of the dynamic seasonal streamflow forecasting approach. Melbourne, Victoria: Commonwealth of Australia (Bureau of Meteorology).
Year Citation — McInerney, D., Thyer, M., Kavetski, D., Githui, F., Thayalakumaran, T., Liu, M., & Kuczera, G. (n.d.). The importance of Spatiotemporal Variability in irrigation inputs for hydrological modelling of irrigated catchments - Datasets.
Year Citation 2017 McInerney, D., Bennett, B. S., Thyer, M., & Kavetski, D. (2017). Interactive Probabilistic Predictions [Computer Software]. http://www.probabilisticpredictions.org/.
Year Citation — McInerney, D., Thyer, M., & Kavetski, D. (n.d.). Supporting data for "Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchments" by McInerney et al. (2019).
Year Citation — Mcinerney, D., Thyer, M., Kavetski, D., & Kuzera, G. (n.d.). Practical guidance on representing uncertainty in hydrological predictions.
— Thyer, M., & Kavetski, D. (n.d.). Advances in improving streamflow predictions, with applications in forecasting.
— Thyer, M., McInerney, D., Kavetski, D., Kuczera, G., & Lerat, J. (n.d.). Improving probabilistic prediction of daily streamflow.
|Year||Project||Chief Investigators||Funding Body||Amount|
|2019-2021||Delivering robust hydrological predictions for Australia’s water resource challenges||Thyer, Kavetski, Maier, Westra, Simmons, Jakeman, Croke, Gupta||
Australian Research Council (ARC) Discovery Project
|2018-2020||Subseasonal streamflow forecasting||Thyer and Kavetski||Australian Bureau of Meteorology||$426k|
|2014-2017||A robust integrated streamflow forecasting framework for Australian water information and management agencies||Kavetski, Thyer, Kuczera, Tuteja, Shin, Seed, Lerat, Tibaldi, Clark, Wood||Australian Research Council (ARC) Linkage Project||$270k|
|2011-2013||The development of IWWS operating rules project||Kuczera, Kavetski||Water Corporation of Western Australia (WCWA)||$468k|
|2011-2013||Robust optimization of urban drought security for an uncertain climate||Kuczera, Kavetski, Kiem||
National Climate Change Adaptation Research Facility (NCCARF), Australia
|2010-2012||Robust streamflow prediction by improving the identification of hydrological model structure||Kavetski, Kuczera, Thyer, Franks||
Australian Research Council (ARC) Discovery Project
|2010-2013||An integrated modelling approach for the efficient management of irrigated landscapes||Kuczera, Kavetski, Thyer, Franks, Selle, Githui, Thayalakumaran||
Australian Research Council (ARC) Linkage Project
|2010-2012||Adapting Bayesian Total Error Analysis to river systems modelling||Kuczera, Thyer, Kavetski||
CSIRO, Flagship Project
|2010-2011||Supply of Bayesian Total Error Analysis||Kuczera, Thyer, Kavetski||Australian Bureau of Meteorology||$125k|
|2010-2011||Improving flood forecasting via robust handling of data and model uncertainties in hydrologic predictions||Thyer, Kavetski, Kuczera, Franks, Renard, Andreassian, Perrin, Lang, Sauquet||
Australian Department of Innovation, Industry, Science and Research (DIISR)
|2008-2010||Urban water systems project||Kuczera, Thyer, Rodriguez, Kavetski||
eWater CRC, Core project
|2007-2011||Research Fellowship grant||Kavetski||University of Newcastle, Australia||$491k|
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2019 Co-Supervisor Improving the value of subseasonal streamflow forecasts for water resource management decisions Doctor of Philosophy Doctorate Part Time Mr Richard Mark Laugesen 2018 Co-Supervisor Influence of Catchment-Scale Characteristics on Residual Model Selection and Parameters Doctor of Philosophy Doctorate Full Time Mr Jason Hunter
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