Dr Mark Thyer

Associate Professor

School of Architecture and Civil Engineering

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Mark Thyer is an Associate Professor in Civil and Environmental Engineering at the University of Adelaide. He has over 17 years research experience in developing physical-statistical models to enhance predictions for hydrological, environmental and water resource models.

His research interests include flood/drought risk assessment; long-term climate variability, quantifying predictive uncertainty in hydrological models and behavourial water use modelling for integrated urban water management. He is an internationally recognised expert on use approaches to quantify of uncertainty in hydrological predictions. He has published numerous journal papers in top international water resources which are highly cited and is co-investigator on research grants worth over $5 million.

Mark has undertaken consultancy projects for many water supply authorities and regularly collaborates with local, national and international institutions, such as CSIRO and the Australian Bureau of Meteorology and the South Australian Goyder Institute for Water Research.

My Research
Career
Publications
Grants and Funding
Supervision
Professional Activities
Contact

Research Interests

Developing innovative physical-statistical approaches to enhance predictions for water modelling in three focus areas:

Climate variability and rainfall/streamflow simulation for flood/drought risk assessment

Incorporating climate processes into stochastic models to enhance drought risk assessment.
Bayesian approaches to assess predictive uncertainty
Incorporating spatial-temporal rainfall variability to enhance flood risk assessment

Streamflow simulation using hydrological models

Improving probabilistic predictions of streamflow simulation for catchment models
Using innovate diagnostics/auxiliary data to evaluate hydrological models

Behavioural water use simulation for Integrated Urban Water Management

Development of approaches for modelling household water use that capture the temporal and spatial behavioural dynamics.

Career Highlights

Over 17 years research experience in developing physical-statistical models to enhance predictions for hydrological/environmental/water resources models
Internationally recognised expert on use of Bayesian approaches to quantify impact of uncertainty (input/parameter/data) in stochastic hydrological models
30 journal papers in the top international water resources journals (Water Resources Research and Journal of Hydrology)
Co-Investigator on Research Grants worth over $5 million dollars
Undertaken consultancy projects on stochastic modelling and drought risk assessment for Hunter Water Corporation, Gosford-Wyong Water Supply Authority, Sydney Catchment Authority, and Wimmera Mallee Pipeline Project
Associate Editor for Australian Journal of Water Resources.
Regularly review ARC grant applications and journal papers for top international journals
Invited by CRC for Catchment Hydrology to contribute models to the stochastic climate library of the catchment modelling toolkit
Research leader for eWater CRC project on development of behavioural end-use stochastic simulator (BESS) for household water use simulation, incorporated into eWater’s Urban Developer tool.

Appointments

Date	Position	Institution name
2016 - ongoing	Associate Professor	University of Adelaide
2010 - 2015	Senior Lecturer	University of Adelaide
2009 - 2009	Senior Lecturer	University of Newcastle
2004 - 2008	Lecturer	University of Newcastle
2003 - 2004	Water Resource Engineer	Tonkin Consulting
2001 - 2002	Postdoctoral Researcher	University of British Columbia

Awards and Achievements

Date	Type	Title	Institution Name	Country	Amount
2015	Award	Ministers Award for Excellence in Water Sustainability for "SA Climate Ready Project"	South Australian Water Industry Alliance	Australia	-
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	Research Spotlight Award from American Geophysical Union (top 5% of Papers in AGU) for Evin 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	-
2007	Research Award	Pro-Vice Chancellor’s Award for Research Excellence	University of Newcastle	Australia	-
1999	Award	Best Student Presentation Award	Water 99 Joint Congress	Australia	-

Education

Date	Institution name	Country	Title
2004 - 2006	University of Newcastle Australia	Australia	Graduate Certificate in Tertiary Teaching
2001	University of Newcastle Australia	Australia	PhD, Doctor of Philosophy in Civil Engineering
1993 - 1996	University of Adelaide	Australia	Bachelor Degree (1st Class Honours) in Civil Engineering

Research Interests

Surfacewater Hydrology Water Resources Engineering Environmental Engineering Civil Engineering

Journals

Year	Citation
2024	McInerney, D., Thyer, M., Kavetski, D., Westra, S., Maier, H. R., Shanafield, M., . . . Leonard, M. (2024). Neglecting hydrological errors can severely impact predictions of water resource system performance. Journal of Hydrology, 634, 15 pages. DOI Scopus3
2024	Thyer, M., Gupta, H., Westra, S., McInerney, D., Maier, H. R., Kavetski, D., . . . Tague, C. (2024). Virtual Hydrological Laboratories: Developing the Next Generation of Conceptual Models to Support Decision Making Under Change. Water Resources Research, 60(4), 17 pages. DOI Scopus1
2024	Zhu, S., Maier, H. R., Zecchin, A. C., Thyer, M. A., & Guillaume, J. H. A. (2024). Improved understanding of calibration efficiency, difficulty and parameter uniqueness of conceptual rainfall runoff models using fitness landscape metrics. Journal of Hydrology, 639, 26 pages. DOI
2023	Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2023). Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts. Hydrology and Earth System Sciences, 27(4), 873-893. DOI Scopus1
2023	Cominola, A., Preiss, L., Thyer, M., Maier, H. R., Prevos, P., Stewart, R. A., & Castelletti, A. (2023). The determinants of household water consumption: A review and assessment framework for research and practice. NPJ CLEAN WATER, 6(1), 1-14. DOI Scopus16 WoS2
2023	Renard, B., McInerney, D., Westra, S., Leonard, M., Kavetski, D., Thyer, M., & Vidal, J. P. (2023). Floods and Heavy Precipitation at the Global Scale: 100-Year Analysis and 180-Year Reconstruction. Journal of Geophysical Research: Atmospheres, 128(9), 26 pages. DOI
2023	McInerney, D., Westra, S., Leonard, M., Bennett, B., Thyer, M., & Maier, H. R. (2023). A climate stress testing method for changes in spatially variable rainfall. Journal of Hydrology, 625, 14 pages. DOI Scopus3
2022	Renard, B., Thyer, M., McInerney, D., Kavetski, D., Leonard, M., & Westra, S. (2022). A Hidden Climate Indices Modeling Framework for Multi‐Variable Space‐Time Data. Water Resources Research, 58(2), 1-27. DOI Scopus5 WoS5
2022	Liang, R., Maier, H. R., Thyer, M. A., Dandy, G. C., Tan, Y., Chhay, M., . . . Lam, V. (2022). Calibration-free approach to reactive real-time control of stormwater storages. Journal of Hydrology, 614, 9 pages. DOI Scopus3 WoS3
2022	Mcinerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2022). Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too. Hydrology and Earth System Sciences, 26(21), 5669-5683. DOI Scopus4
2022	Partington, D., Thyer, M., Shanafield, M., McInerney, D., Westra, S., Maier, H., . . . Kavetski, D. (2022). Predicting wildfire induced changes to runoff: A review and synthesis of modeling approaches. WIREs Water, 9(5), 1-25. DOI Scopus12 WoS3
2021	McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2021). Improving the reliability of sub‐seasonal forecasts of high and low flows by using a flow‐dependent non‐parametric model. Water Resources Research, 57(11), 16 pages. DOI Scopus11 WoS4
2021	Liang, R., Thyer, M. A., Maier, H. R., Dandy, G. C., & Di Matteo, M. (2021). Optimising the design and real-time operation of systems of distributed stormwater storages to reduce urban flooding at the catchment scale. Journal of Hydrology, 602, 15 pages. DOI Scopus26 WoS13
2021	Hunter, J., Thyer, M., McInerney, D., & Kavetski, D. (2021). Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions. Journal of Hydrology, 603, 1-22. DOI Scopus16 WoS4
2020	Lerat, J., Thyer, M., McInerney, D., Kavetski, D., Woldemeskel, F., Pickett-Heaps, C., . . . Feikema, P. (2020). A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data. Journal of Hydrology, 591, 1-15. DOI Scopus16 WoS11
2020	McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Tuteja, N., & Kuczera, G. (2020). Multi‐temporal hydrological residual error modelling for seamless sub‐seasonal streamflow forecasting. Water Resources Research, 56(11), 1-33. DOI Scopus31 WoS20
2019	Bennett, B., Thyer, M., Leonard, M., Lambert, M., & Bates, B. (2019). A virtual hydrological framework for evaluation of stochastic rainfall models. Hydrology and Earth System Sciences, 23(11), 4783-4801. DOI Scopus5 WoS3
2019	Liang, R., Di Matteo, M., Maier, H. R., & Thyer, M. A. (2019). Real-Time, Smart Rainwater Storage Systems: Potential Solution to Mitigate Urban Flooding. WATER, 11(12), 23 pages. DOI Scopus27 WoS19
2019	Wright, D., Thyer, M. A., Westra, S., Renard, B., & McInerney, D. (2019). A generalised approach for identifying influential data in hydrological modelling. Environmental Modelling and Software, 111, 231-247. DOI Scopus7 WoS4
2019	DiMatteo, M., Lang, R., Maier, H., Thyer, M. A., Simpson, A., & Dandy, G. (2019). Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms. Environmental Modelling and Software, 111, 34-41. DOI Scopus43 WoS33
2019	Renard, B., & Thyer, M. (2019). Revealing Hidden Climate Indices from the Occurrence of Hydrologic Extremes. Water Resources Research, 55(9), 7662-7681. DOI Scopus16 WoS14
2019	McInerney, D., Kavetski, D., Thyer, M., Lerat, J., & Kuczera, G. (2019). Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchments. Water Resources Research, 55(12), 11035-11060. DOI Scopus18 WoS16
2018	Woldemeskel, F., McInerney, D., Lerat, J., Thyer, M., Kavetski, D., Shin, D., . . . Kuczera, G. (2018). Evaluating post-processing approaches for monthly and seasonal streamflow forecasts. Hydrology and Earth System Sciences, 22(12), 6257-6278. DOI Scopus39 WoS33
2018	McInerney, D., Thyer, M. A., Kavetski, D., Githui, F., Thayalakumaran, T., Liu, M., & Kuczera, G. (2018). The importance of spatiotemporal variability in irrigation inputs for hydrological modelling of irrigated catchments. Water Resources Research, 54(9), 6792-6821. DOI Scopus22 WoS20
2018	Bennett, B., Thyer, M., Leonard, M., Lambert, M., & Bates, B. (2018). A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model. Journal of Hydrology, 556, 1123-1138. DOI Scopus29 WoS18
2018	Gibbs, M. S., McInerney, D., Humphrey, G., Thyer, M. A., Maier, H. R., Dandy, G. C., & Kavetski, D. (2018). State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application. Hydrology and Earth System Sciences, 22(1), 871-887. DOI Scopus32 WoS27
2017	McInerney, D., Thyer, M., Kavetski, D., Lerat, J., & Kuczera, G. (2017). Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors. Water Resources Research, 53(3), 2199-2239. DOI Scopus109 WoS91
2017	Morón Polanco, S., Amos, K., Edmonds, D., Payenberg, T., Sun, X., & Thyer, M. (2017). Avulsion triggering by El Niño−Southern Oscillation and tectonic forcing: the case of the tropical Magdalena River, Colombia. Geological Society of America Bulletin, 129(9/10), 1300-1313. DOI Scopus12 WoS8
2016	Kiem, A., Johnson, F., Westra, S., van Dijk, A., Evans, J., O Donnell, A., . . . Mehrotra, R. (2016). Natural hazards in Australia: droughts. Climatic Change, 139(1), 37-54. DOI Scopus192 WoS151
2016	Bennett, B., Lambert, M., Thyer, M., Bates, B., & Leonard, M. (2016). Estimating extreme spatial rainfall intensities. Journal of Hydrologic Engineering, 21(3), 04015074-1-04015074-12. DOI Scopus7 WoS6
2016	Li, J., Thyer, M., Lambert, M., Kuzera, G., & Metcalfe, A. (2016). Incorporating seasonality into event-based joint probability methods for predicting flood frequency: a hybrid causative event approach. Journal of Hydrology, 533, 40-52. DOI Scopus9 WoS10
2015	Siebentritt, M., Green, G., Charles, S., Fu, G., Westra, S., Thyer, M. A., & van der Linden, L. (2015). The SA Climate Ready Project. Water, 42(2), 64-68.
2015	Westra, S., Renard, B., & Thyer, M. (2015). The ENSO-precipitation teleconnection and its modulation by the interdecadal pacific oscillation. Journal of Climate, 28(12), 4753-4773. DOI Scopus27 WoS24
2015	Wright, D., Thyer, M., & Westra, S. (2015). Influential point detection diagnostics in the context of hydrological model calibration. Journal of Hydrology, 527, 1161-1172. DOI Scopus13 WoS10
2015	Sun, X., Renard, B., Thyer, M., Westra, S., & Lang, M. (2015). A global analysis of the asymmetric effect of ENSO on extreme precipitation. Journal of Hydrology, 530, 51-65. DOI Scopus121 WoS106
2014	Westra, S., Thyer, M., Leonard, M., Kavetski, D., & Lambert, M. (2014). A strategy for diagnosing and interpreting hydrological model nonstationarity. Water Resources Research, 50(6), 5090-5113. DOI Scopus139 WoS120
2014	Sun, X., Thyer, M., Renard, B., & Lang, M. (2014). A general regional frequency analysis framework for quantifying local-scale climate effects: a case study of ENSO effects on Southeast Queensland rainfall. Journal of Hydrology, 512, 53-68. DOI Scopus68 WoS62
2014	Evin, G., Thyer, M., Kavetski, D., McInerney, D., & Kuczera, G. (2014). Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity. Water Resources Research, 50(3), 2350-2375. DOI Scopus139 WoS115
2014	Li, J., Thyer, M., Lambert, M., Kuczera, G., & Metcalfe, A. (2014). An efficient causative event-based approach for deriving the annual flood frequency distribution. Journal of Hydrology, 510, 412-423. DOI Scopus33 WoS27
2013	Henley, B., Thyer, M., & Kuczera, G. (2013). Climate driver informed short-term drought risk evaluation. Water Resources Research, 49(5), 2317-2326. DOI Scopus24 WoS18
2013	Evin, G., Kavetski, D., Thyer, M., & Kuczera, G. (2013). Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration. Water Resources Research, 49(7), 4518-4524. DOI Scopus95 WoS81
2011	Renard, B., Kavetski, D., Leblois, E., Thyer, M., Kuczera, G., & Franks, S. (2011). Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation. Water Resources Research, 47(11), 1-21. DOI Scopus186 WoS162
2011	Henley, B., Thyer, M., Kuczera, G., & Franks, S. (2011). Climate-informed stochastic hydrological modeling: Incorporating decadal-scale variability using paleo data. Water Resources Research, 47(11), 1-14. DOI Scopus42 WoS34
2011	Thyer, M., Leonard, M., Kavetski, D., Need, S., & Renard, B. (2011). The open source RFortran library for accessing R from Fortran, with applications in environmental modelling. Environmental Modelling & Software, 26(2), 219-234. DOI Scopus15 WoS13
2010	Kuczera, G., Renard, B., Thyer, M., & Kavetski, D. (2010). There are no hydrological monsters, just models and observations with large uncertainties!. Hydrological Sciences Journal-Journal des Sciences Hydrologiques, 55(6), 980-991. DOI Scopus64 WoS61
2010	Kuczera, G., Kavetski, D., Renard, B., & Thyer, M. (2010). A limited memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models. Water Resources Research, 46(7), 1-6. DOI Scopus30 WoS31
2010	Renard, B., Kavetski, D., Kuczera, G., Thyer, M., & Franks, S. (2010). Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors. Water Resources Research, 46(5), 1-22. DOI Scopus634 WoS505
2009	Thyer, M., Renard, B., Kavetski, D., Kuczera, G., Franks, S., & Srikanthan, S. (2009). Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis. Water Resources Research, 45(12), 1-22. DOI Scopus311 WoS267
2008	Thyer, M., Hardy, M., Coombes, P., & Patterson, C. (2008). The impact of end-use dynamics on urban water system design criteria. Australian Journal of Water Resources, 12(2), 161-170. DOI Scopus4 WoS4
2007	Frost, A., Thyer, M., Srikanthan, R., & Kuczera, G. (2007). A general Bayesian framework for calibrating and evaluating stochastic models of annual multi-site hydrological data. Journal of Hydrology, 340(3-4), 129-148. DOI Scopus32 WoS24
2007	Rudiger, C., Hancock, G., Hemakumara, H., Jacobs, B., Kalma, J., Martinez, C., . . . Willgoose, G. (2007). Goulburn River experimental catchment data set. Water Resources Research, 43(10), 1-10. DOI Scopus94 WoS76
2006	Thyer, M., Frost, A., & Kuczera, G. (2006). Parameter estimation and model identification for stochastic models of annual hydrological data: Is the observed record long enough?. Journal of Hydrology, 330(1-2), 313-328. DOI Scopus27 WoS21
2006	Kuczera, G., Kavetski, D., Franks, S., & Thyer, M. (2006). Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters. Journal of Hydrology, 331(1-2), 161-177. DOI Scopus282 WoS244
2004	Thyer, M., Beckers, J., Spittlehouse, D., Alila, Y., & Winkler, R. (2004). Diagnosing a distributed hydrologic model for two high-elevation forested catchments based on detailed stand- and basin-scale data. Water Resources Research, 40(1), W01103. DOI Scopus54 WoS46
2003	Thyer, M., & Kuczera, G. (2003). A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. Model calibration using a Bayesian approach. Journal of Hydrology, 275(1-2), 12-26. DOI Scopus61 WoS44
2003	Thyer, M., & Kuczera, G. (2003). A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2. Real data analysis. Journal of Hydrology, 275(1-2), 27-48. DOI Scopus44 WoS38
2003	Thyer, M. (2003). Understanding and dealing with common peer-to-peer (P2P) application security. Information Systems Security, 12(5), 42-51. DOI
2002	Thyer, M., Kuczera, G., & Wang, Q. (2002). Quantifying parameter uncertainty in stochastic models using the Box-Cox transformation. Journal of Hydrology, 265(1-4), 246-257. DOI Scopus70 WoS60
2002	Frost, A., Jennings, S., Thyer, M., Lambert, M., & Kuczera, G. (2002). Incorporating long-term climate variability into a short-timescale rainfall model using a Hidden State Markov Model. Australian Journal of Water Resources, 6(1), 63-70. DOI
2000	Thyer, M., & Kuczera, G. (2000). Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model. Water Resources Research, 36(11), 3301-3310. DOI Scopus90 WoS68
1999	Thyer, M., Kuczera, G., & Bates, B. (1999). Probabilistic optimization for conceptual rainfall-runoff models: a comparison of the shuffled complex evolution and simulated annealing algorithms. Water Resources Research, 35(3), 767-773. DOI Scopus136 WoS113

Book Chapters

Year	Citation
2019	Ball, J., Babister, M., Retallick, M., Ling, F., & Thyer, M. A. (2019). Fundamental issues. In J. Ball, M. Babister, R. Nathan, W. Weeks, E. Weinmann, M. Retallick, & I. Testoni (Eds.), Scope and Philosophy (pp. 6-30). Barton, ACT: Commonwealth of Australia (Geoscience Australia).
2019	Ball, J., Babister, M., Retallick, M., Ling, F., & Thyer, M. A. (2019). Fundamental issues. In J. Ball, M. Babister, R. Nathan, W. Weeks, E. Weinmann, M. Retallick, & I. Testoni (Eds.), Scope and Philosophy (pp. 6-30). Barton, ACT: Commonwealth of Australia (Geoscience Australia).
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.
2010	Srikanthan, S., Kuczera, G., & Thyer, M. (2010). A simple method for incorporating parameter uncertainty in stochastic data generation. In Advances in Geosciences: Volume 17: Hydrological Science (HS) (pp. 53-64). World Scientific Publishing Company. DOI

Conference Papers

Year	Citation
2023	Thyer, M., Liang, R., Maier, H., Dandy, G., Murchland, R., & Henning, R. (2023). Quantifying the Benefits of using Machine Learning for the Smart Design and Control of Stormwater Storages. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2023) (pp. 1-11). Sydney, Australia: Engineers Australia.
2022	Liang, R., Thyer, M., Maier, H., & Dandy, G. (2022). Managing urban water system trade-offs using smart storages. In 11th International Congress on Environmental Modelling and Software, Brussels, Belgium, Ann van Griensven, Jiri Nossent, Stefan Reis (Eds.) https://scholarsarchive.byu.edu/iemssconference/2022/. Online: IEMSS.
2022	Newman, J. P., Bennett, B., Culley, S. A., Maier, H. R., Westra, S., Thyer, M., . . . Leonard, M. (2022). Understanding Kangaroo Island water supply reliability in future climates and the path to augmentation solutions. In Hydrology and Water Resources Symposium, HWRS 2022 (pp. 934-947). Online: Engineers Australia.
2021	Thyer, M., Maier, H., Cominola, A., Preiss, L., Prevos, P., Stewart, R., & Castelletti, A. (2021). An assessment framework for classifying determinants of household water consumption and their priorities for research and practice. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM 2021) (pp. 1-7). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI Scopus3
2021	Maier, H. R., Guillaume, J. H. A., McPhail, C., Westra, S., Kwakkel, J. H., Razavi, S., . . . Jakeman, A. J. (2021). Uncertainty, sensitivity and scenario analysis: how do they fit together?. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 554-560). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Partington, D., Thyer, M., Shanafield, M., McInerney, D., Westra, S., Maier, H., . . . Kavetski, D. (2021). Modelling hydrological change due to wildfires. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 582-587). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Kavetski, D., McInerney, D., Hunter, J., & Thyer, M. (2021). Recent learnings towards achieving high quality probabilistic predictions in practical applications of hydrological models. In R. W. Vervoort, A. A. Voinov, J. P. Evans, & L. Marshall (Eds.), MODSIM2021, 24th International Congress on Modelling and Simulation. (pp. 526-532). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemsekel, F., Tuteja, N., & Kuczera, G. (2021). Improving sub-seasonal streamflow forecasts across flow regimes. In MODSIM2021, 24th International Congress on Modelling and Simulation. (pp. 616-622). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2021). Advances in subseasonal streamflow forecasting: An overview. In R. W. Vervoort, A. A. Voinov, J. P. Evans, & L. Marshall (Eds.), MODSIM2021, 24th International Congress on Modelling and Simulation. (pp. 623-629). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Lerat, J., Kavetski, D., McInerney, D., & Thyer, M. (2021). A method to calibrate daily rainfall-runoff models to monthly streamflow data. In MODSIM2021, 24th International Congress on Modelling and Simulation. (pp. 533-539). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Thyer, M., McInerney, D., Kavetski, D., & Hunter, J. (2021). Practical approaches to produce high-quality probabilistic predictions and improve risk-based design making. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2021) (pp. 612-625). virtual online: Engineers Australia.
2021	McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Tuteja, N., & Kuczera, G. (2021). The MuTHRE Model for High Quality Sub-seasonal Streamflow Forecasts. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2021) (pp. 444-452). Online: Engineers Australia.
2021	Kavetski, D., McInerney, D., Thyer, M., Lerat, J., & Kuczera, G. (2021). Probabilistic streamflow prediction and uncertainty estimation in ephemeral catchments. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2021) (pp. 482-496). Adelaide, Australia: Engineers Australia.
2021	Hunter, J., Thyer, M., McInerney, D., & Kavetski, D. (2021). High-quality probabilistic predictions for existing hydrological models with common objective functions. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2021) (pp. 626-639). Adelaide, Australia: Engineers Australia. DOI
2021	Kavetski, D., Lerat, J., McInerney, D., & Thyer, M. (2021). Can a daily rainfall-runoff model be successfully calibrated to monthly streamflow data?. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2021) (pp. 806-817). virtual online: Engineers Australia.
2020	Kuczera, G., Kavetski, D., Franks, S., & Thyer, M. (2020). Characterizing model error in conceptual rainfall-runoff models using storm-dependent parameters. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 2925-2931).
2015	Lerat, J., Pickett-Heaps, C., Shin, D., Zhou, S., Feikema, P., Khan, U., . . . Kavetski, D. (2015). Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia. In The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (pp. 1396-1403). online: Engineers Australia. Scopus5
2015	Westra, S., Leonard, M., & Thyer, M. (2015). A principles-evaluate-discuss model for teaching journal and conference paper writing skills to postgraduate research students. In A. Oo,, A. Patel,, T. Hilditch,, & S. Chandran, (Eds.), Proceedings of the 26th Annual Conference of the Australasian Association for Engineering Education (pp. 1-10). Geelong, Victoria: School of Engineering, Deakin University.
2014	Bennett, B., Lambert, M., Thyer, M., Bates, B., & Westra, S. (2014). The impact of differences in rainfall seasonality on antecedent catchment wetness and flood risk. In Proceedings of the Hydrology and Water Resources Symposium (pp. 421-428). Perth, Western Australia: A.C.T. Engineers Australia.
2014	Li, J., Thyer, M., Lambert, M., Kuczera, G., & Metcalfe, A. (2014). Seasonal hybrid-CE method for estimating the annual flood distribution. In Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings (pp. 1088-1095). online: Engineers Australia.
2014	McInerney, D., Thyer, M., Kavetski, D., & Kuczera, G. (2014). Evaluating different approaches for using the Box-Cox transformation to model heteroscedasticity in residual errors of hydrological models. In Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings (pp. 937-944). online: Engineers Australia.
2012	Marchi, A., Simpson, A. R., Thyer, M. A., Sutanto, S., & Do, N. C. (2012). Optimisation of pump operations in water distribution systems taking into account the seasonality of the demand. In 14th Water Distribution Systems Analysis Conference Vol. 1 (pp. 602-612). Barton, A.C.T.: Engineers Australia. Scopus2
2012	Li, J., Thyer, M., Lambert, M., Kuczera, G., & Metcalfe, A. (2012). A hybrid method for efficiently estimating the annual flood distribution under a changing climate. In Proceedings of the 34th Hydrology and Water Resources Symosium, HWRS 2012 (pp. 1467-1476). online: Engineers Australia.
2012	Sun, X., Renard, B., Lang, M., & Thyer, M. (2012). Modelling the non-stationary, asymmetric impact of ENSO on seasonal rainfall totals and daily rainfall extremes. In Proceedings of the 34th Hydrology and Water Resources Symosium, HWRS 2012 (pp. 1264-1272). online: Engineers Australia.
2012	Gibbs, M., Maier, H., Dandy, G., & Thyer, M. (2012). Is there potential to inform time varying conceptual rainfall runoff model parameters using groundwater data?. In Proceedings of the 34th Hydrology and Water Resources Symosium, HWRS 2012 (pp. 1024-1031). online: Engineers Australia.
2012	Bennett, B., Lambert, M., Thyer, M., Bates, B., & Leonard, M. (2012). Estimation of extreme spatial rainfall intensities. In Proceedings of the 34th Hydrology and Water Resources Symosium, HWRS 2012 (pp. 160-168). online: Engineers Australia.
2012	Westra, S., Thyer, M., Leonard, M., Kavetski, D., & Lambert, M. (2012). Diagnosing non-stationary behaviour in a hydrological model. In Proceedings of the 34th Hydrology & Water Resources Symposium, HWRS 2012 (pp. 256-264). Australia: Engineers Australia.
2011	Kavetski, D., Renard, B., Evin, G., Thyer, M., Newman, A., & Kuczera, G. (2011). Uncertainties in flood forecasting: A Bayesian total error perspective. In J. Sims, L. Merrin, R. Ackland, & N. Herron (Eds.), WIRADA (2012) Water Information Research and Development Alliance: Science Symposium Proceedings (pp. 93-98). Australia: Bureau of Meteorology and CSIRO.
2011	Thyer, M., Micevski, T., Kuczera, G., & Coombes, P. (2011). A behavioural approach to stochastic end use modelling. In Ozwater 11: Australia's National Water Conference and Exhibition (pp. 1-8). Adelaide, Australia.
2011	Micevski, T., Lerat, J., Kavetski, D., Thyer, M., & Kuczera, G. (2011). Exploring the utility of multi-response calibration in river system modelling. In Proceedings of the 19th MODSIM (pp. 3889-3895). Australia: The Modelling and Simulation Society of Australia and NZ. Scopus5 WoS4
2011	Orr, D., Micevski, T., & Thyer, M. (2011). Household characteristics that influence household water use in the Hunter Region. In Proceedings of the 34th IAHR World Congress (pp. 1905-1912). Australia: Engineers Australia.
2011	Micevski, T., Thyer, M., & Kuczera, G. (2011). A behavioural approach for household outdoor water use modelling. In Proceedings of the 34th IAHR World Congress (pp. 1897-1904). Australia: Engineers Australia. Scopus1
2011	Kavetski, D., Evin, G., Clark, M., Thyer, M., Kuczera, G., Renard, B., . . . Tuteja, N. (2011). Battling hydrological monsters: Insights into numerical approximations, data uncertainty and structural errors. In Proceedings of the 34th IAHR World Congress (pp. 1411-1418). Australia: Engineers Australia. Scopus1
2011	Thyer, M., Renard, B., Kavetski, D., Kuczera, G., & Clark, M. (2011). Improving hydrological model predictions by incorporating rating curve uncertainty. In Proceedings of the 34th IAHR World Congress (pp. 1546-1553). Australia: Engineers Australia. Scopus3
2009	Thyer, M., Renard, B., Kavetski, D., & Kuczera, G. (2009). Impact of runoff measurement error models on the quantification of predictive uncertainty in rainfall-runoff models. In Interfacing modelling and simulation with mathematical and computational sciences : 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009 : proceedings (pp. 3414-3420). Christchurch: Modelling and Simulation Society of Australia and New Zealand. Scopus3 WoS2
2009	Srikanthan, R., Kuczera, G., & Thyer, M. (2009). 'Calibrate it twice': A simple resampling method for incorporating parameter uncertainty in stochastic data generation. In 32nd Hydrology and Water Resources Symposium 2009 (pp. 1028-1039). Newcastle: Engineers Australia.
2009	Henley, B., Thyer, M., Kuczera, G., & William, F. (2009). How long do phases of the Interdecadal Pacific Oscillation (IPO) persist? : Utilising palaeoclimate data in stochastic hydrology. In 32nd Hydrology and Water Resources Symposium (pp. 254-265). Newcastle: Engineers Australia.
2009	Qin, J., Leonard, M., Kuczera, G., Thyer, M., Metcalfe, A., & Lambert, M. (2009). A high-resolution hierarchical space-time framework for single storm events and its application for short-term rainfall forecasting. In IAHS-AISH Publication Vol. 333 (pp. 330-340).
2009	Renard, B., Leblois, E., Kuczera, G., Kavetski, D., Thyer, M., & Franks, S. (2009). Characterizing errors in areal rainfall estimates: application to uncertainty quantification and decomposition in hydrologic modelling. In Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (pp. 505-516). Australia: Engineers Australia.
2009	Thyer, M., Duncan, H., Coombes, P., Kuczera, G., & Micevski, T. (2009). A probabilistic behavioural approach for the dynamic modelling of indoor household water use. In Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (pp. 1059-1069). Australia: Engineers Australia.
2009	Micevski, T., Thyer, M., & Coombes, P. (2009). Evaluation of a behavioural approach and a regression approach for the modelling of household-scale outdoor water use. In Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (pp. 1071-1080). Australia: Engineers Australia.
2009	Thyer, M. A., Renard, B., Kavetski, D., & Kuczera, G. (2009). Impact of runoff measurement error models on the quantification of predictive uncertainty in rainfall-runoff models. In 18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings (pp. 3414-3420). Scopus4
2008	Cui, L., Thyer, M., Coombes, P., & Kuczera, G. (2008). A stochastic model for identifying the long term dynamics of indoor household water uses. In Proceedings of Water Down Under 2008: incorporating 31st Hydrology and Water Resources Symposium and 4th International Conference on Water Resources and Environment Research (pp. 1-12). Modbury, SA: Engineers Australia.
2008	Henley, B., Thyer, M., Kuczera, G., & Franks, S. (2008). Evaluating drought risk dynamics: Comparison of a Climate-Informed Multi-time Scale Stochastic (CIMSS) framework to the AR(1) model. In M. Lambert, T. Daniell, & M. Leonard (Eds.), Proceedings of Water Down Under 2008 (pp. 2050-2061). Modbury, SA: Engineers Australia.
2008	Qin, J., Leonard, M., Kuczera, G., Thyer, M., Metcalfe, A., & Lambert, M. (2008). A high resolution spatio-temporal model for single storm events based on radar images. In M. Lambert (Ed.), Proceedings of Water Down Under 2008 (pp. 1582-1594). CD: Engineers Australia.
2008	Renard, B., Kuczera, G., Kavetski, D., Thyer, M., & Franks, S. (2008). Bayesian Total Error Analysis for hydrologic models: Quantifying uncertainties arising from input, output and structural errors. In 31st Hydrology and Water Resources Symposium (pp. 608-619). Modbury, SA: Engineers Australia.
2008	Zaman, A., Etchells, T., Malano, H., Davidson, B., Thyer, M., & Kuczera, G. (2008). Presenting a Next Generation Irrigation (NGenIrr) demand model. In International Conference on Water Resources and Environment (pp. 2094-2105). Modbury, SA: Engineers Australia.
2008	Thyer, M., Renard, B., Kavetski, D., Kuczera, G., & Srikanthan, S. (2008). Investigating the impact of predicitive uncertainity in rainfall-runoff modelling on storage reliability estimates using Bayesian total error analysis. In R. Babcock, & R. Walton (Eds.), Proceedings of the World Environmental and Water Resources Congress Vol. 316 (pp. 0 pages). USA: American Society of Civil Engineers (ASCE). DOI Scopus1
2008	Kavetski, D., Thyer, M., Renard, B., Kuczera, G., Franks, S., & Srikanthan, S. (2008). Scrutinizing parameter consistency and predictive uncertainty in rainfall-runoff models using Bayesian total error analysis. In R. Babcock, & R. Walton (Eds.), Proceedings of the World Environmental and Water Resources Congress 2008 Vol. 316 (pp. 0 pages). USA: American Society of Civil Engineers (ASCE). DOI Scopus1
2007	Thyer, M., Renard, B., Kavetski, D., Kuczera, G., & Srikanthan, R. (2007). Bayesian total error analysis for hydrological models: preliminary evaluation using multi-site catchment rainfall data. In International Congress on Modelling and Simulation 2007 (pp. 2459-2465). Christchurch: Modelling and Simulation Society of Australia and New Zealand. Scopus5 WoS3
2007	Kuczera, G., Kavetski, D., Renard, B., & Thyer, M. (2007). Bayesian total error analysis for hydrologic models: Markov chain Monte Carlo methods to evaluate the posterior distribution. In MODSIM 2007 International Congress on Modelling and Simulation (pp. 2466-2472). Christchurch: Modelling and Simulation Society of Australia and New Zealand. Scopus7 WoS3
2007	Renard, B., Thyer, M., Kuczera, G., & Kavetski, D. (2007). Bayesian total error analysis for hydrologic models: sensitivity to error models. In MODSIM 2007 International Congress on Modelling and Simulation (pp. 2473-2489). Christchurch: Modelling and Simulation Society of Australia and New Zealand,. Scopus5 WoS4
2007	Henley, B., Thyer, M., & Kuczera, G. (2007). Seasonal stochastic rainfall modelling using climate indices: A Bayesian Hierarchical Model. In L. Oxley, & D. Kulasiri (Eds.), MODSIM 2007 International Congress on Modelling and Simulation (pp. 1575-1581). Christchurch: Modelling and Simulation Society of Australia and New Zealand. Scopus3
2007	Cui, L., Thyer, M., Coombes, P., & Kuczera, G. (2007). A hidden state Markov Model for identifying the long term dynamics of indoor household water uses. In Rainwater and Urban Design Conference 2007 (pp. 1-8). Sydney, NSW: Conference Organising Committee.
2007	Thyer, M. (2007). The national airborne field experiment data sets. In MODSIM07 : International Congress on Modelling and Simulation (pp. 2625-2631). Christchurch: International Congress on Modelling and Simulation. Scopus1
2007	Kavetski, D., Kuczera, G., Thyer, M., & Renard, B. (2007). Multistart Newton-type optimisation methods for the calibration of conceptual hydrological models. In MODSIM 2007 International Congress on Modelling and Simulation (pp. 2513-2519). Modelling and Simulation Society of Australia and New Zealand: Christchurch. Scopus9 WoS8
2006	Qin, J., Leonard, M., Kuczera, G., Thyer, M., Lambert, M., & Metcalfe, A. (2006). Statistical characteristics of rainstorms derived from weather radar images. In Geoff Brayford (Ed.), Proceedings of the 30th Hydrology and Water Resources Symposium (pp. CDROM1-CDROM6). CDROM: Conference Design Pty Ltd.
2006	Henley, B., Thyer, M., Kuczera, G., & Franks, S. (2006). Incorporating long-term climate information into stochastic models of annual hydrological data: A Bayesian hierarchical approach. In 30th Hydrology & Water Resources Symposium (pp. 327-332). Conference Design: Sandy Bay, Tasmania.
2006	Thyer, M., Frost, A., Kuczera, G., & Srikanthan, R. (2006). Stochastic modelling of (not-so) long-term hydrological data: Current status and future research. In 30th Hydrology and Water Resources Symposium (pp. Online). Sandy Bay, Tasmania: Conference Design.
2005	Frost, A., & Thyer, M. (2005). Stochastic generation of multi-site hydrological data at annual timescales. In 29th Hydrology and Water Resources Symposium (pp. 1-9). Canberra ACT: Engineers Australia.
2005	Kuczera, G., Kavetski, D., Franks, S., & Thyer, M. (2005). Characterizing model error in conceptual rainfall-runoff models using storm-dependent parameters. In MODSIM 2005 International Congress on Modelling and Simulation (pp. 2925-2931). Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand. Scopus2 WoS1
2005	Whiting, J., Thyer, M., Lambert, M., & Metcalfe, A. (2005). Simulating catchment-scale monthly rainfall with classes of hidden Markov models. In R. Vertessy, & R. Knee (Eds.), Proceedings of the 29th Hydrology and Water Resources Symposium (pp. 1-8). Australia: Engineers Australia.
2000	Thyer, M., & Kuczera, G. (2000). Modelling long-term rainfall persistence at multiple sites. In L. R. Bentley, J. F. Sykes, C. A. Brebbia, W. G. Gray, & G. F. Pinder (Eds.), Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology (pp. 1153-1160). UNIV CALGARY, FAC SCI, CALGARY, CANADA: A A BALKEMA PUBLISHERS.
2000	Frost, A., Jennings, S., Thyer, M., Lambert, M., & Kuczera, G. (2000). Droughts, floods and everything else in between. In B. Coordinator (Ed.), Proceedings of Hydro 2000 3rd International Hydrology and Water Resources Symposium of The Institution of Engineers, Australia (pp. 168-173). ACT, Australia: The Institution of Engineers, Australia.

Conference Items

Year	Citation
2023	Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2023). Seamless subseasonal probabilistic streamflow forecasting: MuTHRE lets you have your cake and eat it too. Poster session presented at the meeting of Abstracts of the European Geosciences Union General Assembly (EGU 2023). Vienna, Austria & Online: Copernicus GmbH. DOI
2022	Thyer, M., Hunter, J., McInerney, D., & Kavetski, D. (2022). High-quality probabilistic predictions for existing hydrological models with common objective functions. Poster session presented at the meeting of Abstracts of the EGU General Assembly 2022. Vienna, Austria & Online: Copernicus GmbH. DOI
2022	Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2022). A flexible approach for evaluating the value of probabilistic forecasts for different decision types and risk averse decision-makers. Poster session presented at the meeting of Unknown Conference. DOI
2021	Hunter, J., Thyer, M., Kavetski, D., & McInerney, D. (2021). An open-source R-package and web application for high-quality probabilistic predictions in hydrology. Poster session presented at the meeting of Unknown Conference. DOI
2021	Liang, R., Thyer, M., Maier, H., Di Matteo, M., & Dandy, G. (2021). Potential benefits of real-time control to reduce urban flooding using distributed smart stormwater storage systems. Poster session presented at the meeting of 23rd EGU General Assembly.
2021	Leigh, R., Knowling, M., Westra, S., Bennett, B., Zecchin, A., Maier, H., . . . Devanand, A. (2021). A multi-modelling framework to stress-test water resource systems under change. Poster session presented at the meeting of 24th International Congress on Modelling and Simulation (MODSIM2021) Book of Abstracts. Sydney, Australia: Modelling and Simulation Society of Australia and New Zealand Inc..
2021	Liang, R., Thyer, M., Maier, H., Di Matteo, M., & Dandy, G. (2021). Potential benefits of real-time control to reduce urban flooding using distributed smart stormwater storage systems. Poster session presented at the meeting of Unknown Conference. DOI
2017	Bennett, B. S., Thyer, M., Leonard, M., Lambert, M., Bates, B., Evin, G., . . . Hingray, B. (2017). A comprehensive and systematic evaluation framework for evaluating spatio-temporal rainfall models. Poster session presented at the meeting of 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand. Hobart, Tasmania, Australia.
2016	Bennett, B. S., Thyer, M., Leonard, M., Lambert, M., & Bates, B. (2016). Parsimonious simulation of daily rainfall fields. Poster session presented at the meeting of DEWNR-NRM Science Conference. University of Adelaide, SA, Australia.
2016	Bennett, B. S., Thyer, M., Leonard, M., & Lambert, M. (2016). Continuous simulation of spatial daily rainfall fields. Poster session presented at the meeting of EGU General Assembly Conference Abstracts. Vienna, Austria.
2015	Bennett, B. S., Leonard, M., Thyer, M., & Lambert, M. (2015). Simulation of daily rainfall across a range of space and time scales. Poster session presented at the meeting of 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand. Gold Coast, Queensland, Australia.
2013	Bennett, B. S., Lambert, M., Thyer, M., Bates, B., & Westra, S. (2013). Techniques for Assessing Climate Change Impacts on Antecedent Catchment Wetness and Flooding. Poster session presented at the meeting of 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand. Adelaide, South Australia.
2012	Thyer, M. A., Lambert, M., Li, J., Kuczera, G., & Metcalfe, A. (2012). A new approach for annual flood frequency estimation: Hybrid Causative Event Method. Poster session presented at the meeting of 34th Hydrology and Water Resources Symposium. Sydney, Australia. DOI
2008	Henley, B. J., Thyer, M. A., Kuczera, G., & Franks, S. (2008). Short-term drought risk dynamics: The impact of multi-decadal climate variability and water supply system properties. Poster session presented at the meeting of World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. American Society of Civil Engineers. DOI
-	Thyer, M., li, J., Lambert, M., Kuczera, G., & Metcalfe, A. (n.d.). An efficient hybrid causative event-based approach for estimating flood frequency: Conference Poster. Poster session presented at the meeting of Unknown Conference. DOI

Report for External Bodies

Year	Citation
2023	Liang, R., Thyer, M., & Maier, H. (2023). Evaluating Benefits of Smart Design and Control of Distributed Storage for the Pasadena Case Study Catchment.
2023	Liang, R., Thyer, M., & Maier, H. (2023). Evaluating Benefits of Smart Design of Distributed Storage for the Trinity Valley Study Catchment. University of Adelaide, City of Norwood Payneham and St Peters, and Stormwater Management Authority.
2022	Westra, S., Leigh, R., Knowling, M., Beh, E., Devanand, A., Thyer, M., . . . McInerney, D. (2022). Assessment of current and future water security in the Barossa and Eden Valleys.
2021	McInerney, D., Thyer, M., Kavetski, D., & Kuczera, G. (2021). Technical note on producing spatially correlated daily streamflow forecasts at semi-gauged sites.
2020	McInerney, D. J., Thyer, M., Kavetski, D., & Kuczera, G. (2020). Technical note on producing spatially correlated streamflow forecasts at multiple gauged sites.
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.
2019	Thyer, M. A., Di Matteo, M., Liang, R., Maier, H. R., & Dandy, G. (2019). Evaluating smart storage options for drainage rehabilitation to provide flood, reuse and water quality benefits.
2019	Thyer, M. A., Maier, H. R., & Di Matteo, M. (2019). Evaluating the benefits of smart stormwater systems: summary of research outcomes. South Australia: The University of Adelaide. DOI
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).
2014	Westra, S. P., Thyer, M., Leonard, M., Kavetski, D., & Lambert, M. (2014). Impacts of climate change on surface water in the Onkaparinga catchment - Final report volume 1: hydrological model development and sources of uncertainty (14/22). Goyder Institute for Water Research.
2014	Westra, S. P., Thyer, M., Leonard, M., & Lambert, M. (2014). Impacts of climate change on surface water in the Onkaparinga catchment - Final report volume 2: hydrological evaluation of the CMIP3 and CMIP5 GCMs and the Non-homogenous Hidden Markov Model (NHMM) (14/23). Goyder Institute for Water Research.
2014	Westra, S. P., Thyer, M., Leonard, M., & Lambert, M. (2014). Impacts of climate change on surface water in the Onkaparinga catchment - Final report volume 3: impact of climate change on runoff in the Onkaparinga catchment (14/27). Goyder Institute for Water Research.
2014	Arbon, N., Thyer, M. A., Darla Hatton McDonald., Beverley, K., & Lambert, M. (2014). Understanding and predicting household water use for Adelaide (Technical Report Series No. 14/15). Goyder Institute for Water Research.
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).

Theses

Year	Citation
2016	Bennett, B. S. (2016). Stochastic Spatial Rainfall Modelling for Hydrological Design: Development of a Parsimonious Simulation Approach and Virtual Hydrological Evaluation Framework. (PhD Thesis, University of Adelaide).

Internet Publications

Year	Citation
2015	Thyer, M. A., & Westra, S. (2015). Adelaide is facing a dry future – it needs to start planning now. The Conversation.
-	Thyer, M., McInerney, D., Kavetski, D., Kuczera, G., Lerat, J., Tuteja, N., . . . Shin, D. (n.d.). Seasonal Streamflow Forecasting for Water Management: Advances and Opportunities. DOI
-	Thyer, M., & Arbon, N. (n.d.). Insights from Smart Waters: Potential to Mitigate Impact of Heatwaves on Peak Demands. DOI
-	Thyer, M., & Arbon, N. (n.d.). Insight from Smart Water Meters: Opportunities for Targeted Management Strategies. DOI

Datasets

Year	Citation
2022	Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2022). Supplementary material to "Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts". DOI
2015	Thyer, M. A., Li, J. I. N. G., Lambert, M., Kuczera, G., & Metcalfe, A. (2015). Virtual hydrological time series for flood frequency analysis. DOI
-	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. DOI
-	Thyer, M., Westra, S., & Leonard, M. (n.d.). Onkaparinga Catchment Climate Change Modelling. DOI
-	Liang, R., Matteo, M. D., Maier, H., & Thyer, M. (n.d.). Real-Time, Smart Rainwater Storage Systems: Potential Solution to Mitigate Urban Flooding. DOI

Software

Year	Citation
2017	McInerney, D., Bennett, B. S., Thyer, M., & Kavetski, D. (2017). Interactive Probabilistic Predictions [Computer Software]. http://www.probabilisticpredictions.org/. DOI
2016	Leonard, M., Bennett, B., Thyer, M., Marchi, A., Guo, D., Visintin, P., & Wright, D. (2016). Algorithmik Apps, http://www.algorithmik.org.au/ [Computer Software].
-	Leonard, M., Bennett, B., Thyer, M., Marchi, A., Visintin, P., Wright, D., & Guo, D. (n.d.). Algorithmik Apps [Computer Software].

Filesets

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). DOI

Media

Year	Citation
-	Thyer, M., Kavetski, D., & McInerney, D. (n.d.). Introduction to Evaluating Probabilistic Predictions. DOI
-	Thyer, M., Kavetski, D., McInerney, D., & Renard, B. (n.d.). Introduction to Residual Diagnostics. DOI
-	Thyer, M., Kavetski, D., McInerney, D., & Hunter, J. (n.d.). Guidance on Enhancing Probabilistic Predictions. DOI
-	Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., & Tuteja, N. (n.d.). Do you want high quality subseasonal streamflow forecasts? Ask MuTHRE! vEGU 2021 Conference Presentation. DOI
-	Maier, H., Thyer, M., & Liang, R. (n.d.). Use of Machine Learning for the Smart Design and Real Time Control of Stormwater Storages. DOI
-	Thyer, M., Hunter, J., McInerney, D., & Kavetski, D. (n.d.). High-quality probabilistic predictions for existing hydrological models with common objective functions: EGU2022 Conference Presentation. DOI

Presentations

Year	Citation
-	Thyer, M., McInerney, D., Kavetski, D., Kuczera, G., & Lerat, J. (n.d.). Improving probabilistic prediction of daily streamflow. DOI
-	Thyer, M., & Kavetski, D. (n.d.). Advances in improving streamflow predictions, with applications in forecasting. DOI
-	Mcinerney, D., Thyer, M., Kavetski, D., & Kuzera, G. (n.d.). Practical guidance on representing uncertainty in hydrological predictions. DOI
-	Bennett, B., Thyer, M., Leonard, M., Lambert, M., & Bates, B. (n.d.). Parsimonious Simulation of Daily Rainfall Fields. DOI
-	Thyer, M., Arbon, N., McDonald, D. H., & Lambert, M. (n.d.). Identifying Key Drivers of Household Water Use in South Australia: Practical Implications. DOI
-	Thyer, M., Maier, H., & Liang, R. (n.d.). Smart Stormwater Systems - Harnessing Artificial Intelligence for a Cooler, Flood-Resilient Future<strong> </strong>. DOI

Research Funding

Year	Project	Co-Investigators	Funding Body	Amount
2022-2023	Smart Detention Tank Storage – A Solution to Catchment Scale Flood Risk	Thyer, Maier	Stormwater Management Authority, City of Mitcham, City of Norwood Payneham and St. Peters	$220k
2018-2020	Stochastic Climate Data Generation for Drought Risk	Westra, Leonard, Bennett, Thyer	NSW Department of Primary Industry	$308k
2019-2022	Delivering robust hydrological predictions for Australia’s water challenges	Thyer, Kavetski, Maier, Westra, Simmons, Jakeman, Gupta	ARC DP	$381k
2019	Smart Storage Optimisation to reduce Flooding	Thyer, Maier	City of Unley & City of Mitcham	$150k
2019	Hydrological Model Improvement	Thyer, McInerney, Kavetski	SA Dept of Environment and Water (DEW)	$100k
2018-2020	Subseasonal Streamflow Forecasting Research Project	Thyer, Kavetski	Bureau of Meteorology	$460k
2015-2017	A Robust Integrated Streamflow Forecasting Framework for Australian Water Information Agencies	Kavetski, Thyer, Kuczera, Tuteja, Shin, Seed, Lerat, Tibaldi, Clark, Wood	ARC Linkage, Bureau of Meteorology, SEQ Water, NCAR(US)	$270k
2014	Evaluation of Postprocessing Techniques for Rainfall and Streamflow Forecasts	Thyer, Kavetski, Kuczera, McInerney	Bureau of Meteorology	$125k
2012-2014	Optimal Water Resource Mix for Metropolitan Adelaide	Thyer, Lambert, Dandy, Maier	Goyder Institute for Water Research, SA Water	$384k
2011-2014	Development of an agreed set of climate projects for South Australia	Thyer, Lambert, Green	Goyder Institute for Water Research	$505k
2010-2012	Inferring hydrologic model structure using Bayesian Total Error Analysis	Kavetski, Kuczera, Thyer, Franks	ARC Discovery	$240k
2010-2011	UoA eWater Project	Dandy, Maier, Thyer	eWater CRC	$254k
2010-2013	An integrated modelling approach for the efficient management of irrigated landscapes	Thyer, Kavetski, Kuczera, Franks, Selle, Githui, Thayalakumaran	ARC Linkage, DEPI(Vic)	$185k
2010-2012	Adapting Bayesian Total Error Analysis to River Systems Modelling	Kuczera, Thyer, Kavetski	CSIRO - Land and Water	$200k
2010-2011	Supply of Bayesian Total Error Analysis	Kuczera, Thyer, Kavetski	Bureau of Meteorology	$185k
2010-2012	A new flood design methodology for a variable and changing climate	Lambert, Kuczera, Thyer, Metcalfe	ARC Discovery	$325k
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	International Science Linkages	$20k
2008-2010	Urban Water Systems Project	Kuczera, Thyer, Rodriguez, Kavetski	eWater CRC	$1,124k
2007-2009	A stochastic space-time model of rainfall fields in large heterogeneous regions	Lambert, Metcalfe, Kuczera, Thyer	ARC Discovery	$345k
2007-2009	Efficient and Robust Prediction at Ungauged Catchments	Kuczera, Thyer, Franks	ARC Discovery	$180k
2006-2007	Innovative WSUD intervention strategies	Coombes, Thyer, Kuczera, Rodriguez	eWater CRC	$321k
2006-2007	Total error framework for model calibration	Kuczera, Thyer, Coombes	eWater CRC	$562k
2006-2009	A Bayesian Hierarchical Approach for Simulating Multi-time scale Hydrological Variability for Water Resources Planning	Thyer, Kuczera, Franks, Lambert, Metcalfe and Berghout.	ARC Linkage, Hunter Water Corporation	$117k
			Total	$7.0 million

Current Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2019	Principal Supervisor	Improving the value of subseasonal streamflow forecasts for water resource management decisions	Doctor of Philosophy	Doctorate	Part Time	Mr Richard Mark Laugesen

Past Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2019 - 2023	Co-Supervisor	Real-time Control of Stormwater Storages to Improve Performance of Urban Stormwater Systems	Doctor of Philosophy	Doctorate	Full Time	Mr Ruijie Liang
2013 - 2017	Principal Supervisor	Influence Diagnostics in Hydrological Modeling	Doctor of Philosophy	Doctorate	Full Time	David Peter Wright
2011 - 2016	Co-Supervisor	Stochastic Spatial Rainfall Modelling for Hydrological Design: Development of a Parsimonious Simulation Approach and Virtual Hydrological Evaluation Framework	Doctor of Philosophy	Doctorate	Full Time	APrf Bree Sarah Bennett

Memberships

Date	Role	Membership	Country
2007 - ongoing	Member	International Association of Hydrological Sciences	United Kingdom
2007 - ongoing	Member	Engineers Australia	Australia
1999 - ongoing	Member	American Geophysical Union	United States

Industry Partnerships

Date Engagement Type Partner Name
2010 - ongoing Consultant Bureau of Meterology

Date	Engagement Type	Partner Name
2010 - ongoing	Consultant	Bureau of Meterology

Position: Associate Professor
Phone: 83130770
Email: mark.thyer@adelaide.edu.au
Fax: 83134359
Campus: North Terrace
Building: Engineering North, floor First Floor
Room: N107A
Org Unit: Environmental Engineering

Dr Mark Thyer

Research Interests

Climate variability and rainfall/streamflow simulation for flood/drought risk assessment

Streamflow simulation using hydrological models

Behavioural water use simulation for Integrated Urban Water Management

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Current Higher Degree by Research Supervision (University of Adelaide)

Past Higher Degree by Research Supervision (University of Adelaide)

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