Dr David McInerney

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• Appointments

  Date	Position	Institution name
  2016 - 2016	Principal Hydrologist	Government of South Australia, Adelaide
  2012	Senior Research Associate	University of Adelaide, Adelaide
  2007 - 2012	Research Associate	University of Chicago, Chicago
  2005 - 2007	Postdoctoral Research Scholar	Pennsylvania State University, University Park

• Education

  Date	Institution name	Country	Title
  —	University of Adelaide, Adelaide	Australia	PhD
  —	University of Adelaide, Adelaide	Australia	BSc, Mathematics and Computer Sciences (Honours)

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• Journals

  Year	Citation
  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, OnlinePubl, 1-26. DOI
  2019	Wright, D., Thyer, M., 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
  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 Discussions, 22, 6257-6278. DOI
  2018	McInerney, D., Thyer, M., Kavetski, D., Bennett, B., Lerat, J., Gibbs, M., & Kuczera, G. (2018). A simplified approach to produce probabilistic hydrological model predictions. Environmental Modelling & Software, 109, 306-314. DOI Scopus1 WoS1
  2018	Gibbs, M., McInerney, D., Humphrey, G., Thyer, M., Maier, H., Dandy, G., & 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 Scopus9 WoS7
  2018	Wright, D., Thyer, M., Westra, S., & McInerney, D. (2018). A hybrid framework for quantifying the influence of data in hydrological model calibration. Journal of Hydrology, 561, 211-222. DOI Scopus2 WoS2
  2018	McInerney, D., Thyer, M., 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 Scopus3 WoS3
  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 Scopus4 WoS3
  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 Scopus33 WoS32
  2016	Payne, J., McInerney, D., Barovich, K., Kirkland, C., Pearson, N., & Hand, M. (2016). Strengths and limitations of zircon Lu-Hf and O isotopes in modelling crustal growth. Lithos, 248-251, 175-192. DOI Scopus53 WoS49
  2016	Poppick, A., McInerney, D., Moyer, E., & Stein, M. (2016). Temperatures in transient climates: improved methods for simulations with evolving temporal covariances. Annals of Applied Statistics, 10(1), 477-505. DOI Scopus6 WoS5
  2016	Huang, W. K., Stein, M. L., McInerney, D. J., Sun, S., & Moyer, E. J. (2016). Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions. Advances in Statistical Climatology, Meteorology and Oceanography, 2(1), 79-103. DOI
  2016	Bao, J., McInerney, D., & Stein, M. (2016). A spatial-dependent model for climate emulation. Environmetrics, 27(7), 396-408. DOI
  2015	Payne, J., Hand, M., Pearson, N., Barovich, K., & McInerney, D. (2015). Crustal thickening and clay: controls on O isotope variation in global magmatism and siliclastic sedimentary rocks. Earth and Planetary Science Letters, 412, 70-76. DOI Scopus15 WoS14
  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 Scopus71 WoS62
  2014	Glotter, M., Elliott, J., McInerney, D., Best, N., Foster, I., & Moyer, E. (2014). Evaluating the utility of dynamical downscaling in agricultural impacts projections. Proceedings of the National Academy of Sciences of the United States of America, 111(24), 8776-8781. DOI Scopus35 WoS37 Europe PMC4
  2014	Castruccio, S., McInerney, D., Stein, M., Crouch, F., Jacob, R., & Moyer, E. (2014). Statistical emulation of climate model projections based on precomputed GCM runs. Journal of Climate, 27(5), 1829-1844. DOI Scopus32 WoS34
  2014	Li, D., Jacobson, A., & McInerney, D. (2014). A reactive-transport model for examining tectonic and climatic controls on chemical weathering and atmospheric CO₂ consumption in granitic regolith. Chemical Geology, 365, 30-42. DOI Scopus33 WoS32
  2012	Hall, J. W., Lempert, R. J., Keller, K., Hackbarth, A., Mijere, C., & McInerney, D. J. (2012). Robust climate policies under uncertainty: a comparison of robust decision making and info-gap methods. Risk Analysis, 32(10), 1657-1672. DOI Scopus139 WoS132 Europe PMC9
  2012	McInerney, D., Lempert, R., & Keller, K. (2012). What are robust strategies in the face of uncertain climate threshold responses?. Climatic Change, 112(3-4), 547-568. DOI Scopus67 WoS65
  2010	McInerney, D., Teubner, M., & Noye, B. (2010). A second-order analytic solution for oscillatory wind-induced flow in an idealized shallow lake. Computers & Fluids, 39(9), 1500-1509. DOI Scopus1 WoS1
  2008	Keller, K., & McInerney, D. (2008). The dynamics of learning about a climate threshold. Climate Dynamics, 30(2-3), 321-332. DOI Scopus28 WoS27
  2008	Baehr, J., McInerney, D., Keller, K., & Marotzke, J. (2008). Optimization of an observing system design for the North Atlantic meridional overturning circulation. Journal of Atmospheric and Oceanic Technology, 25(4), 625-634. DOI Scopus13 WoS8
  2008	Keller, K., McInerney, D., & Bradford, D. F. (2008). Carbon dioxide sequestration: how much and when?. Climatic Change, 88(3-4), 267-291. DOI Scopus30 WoS28
  2008	McInerney, D., & Keller, K. (2008). Economically optimal risk reduction strategies in the face of uncertain climate thresholds. Climatic Change, 91(1-2), 29-41. DOI Scopus41 WoS32
  2000	McInerney, D., & Noye, B. (2000). A triangular coastal element developed for use in finite difference tidal models. The ANZIAM Journal, 42, C936-C953.
  2000	Noye, B., & McInerney, D. (2000). Numerical study of the stability of some explicit finite-difference methods for oscillatory advection. The ANZIAM Journal, 42(1), C1076-C1096.
  —	Gibbs, M. S., McInerney, D., Humphrey, G., Thyer, M. A., Maier, H. R., Dandy, G. C., & Kavetski, D. (n.d.). State Updating and Calibration Period Selection to Improve Dynamic Monthly Streamflow Forecasts for a Wetland Management Application. Hydrology and Earth System Sciences Discussions, 1-29. DOI

• Conference Papers

  Year	Citation
  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.

• Datasets

  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. 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

• 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

• Presentations

  Year	Citation
  —	Mcinerney, D., Kavetski, D., & Kuzera, G. (n.d.). Practical guidance on representing uncertainty in hydrological predictions. DOI
  —	Thyer, M., McInerney, D., Kavetski, D., Kuczera, G., & Lerat, J. (n.d.). Improving probabilistic prediction of daily streamflow. DOI
  —	McInerney, D. (n.d.). Improving Probabilistic Streamflow Predictions. DOI

Lecturing

• Engineering Hydrology III (2015-2017)
• Engineering Modelling and Analysis II (2015-2017)

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• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2019	Co-Supervisor	Realistic multisite estimates of subseasonal inflows into river systems	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

• Position: Research Associate
• Phone: 83131231
• Email: david.mcinerney@adelaide.edu.au
• Campus: North Terrace
• Building: Engineering North, floor N1
• Room: 1 25
• Org Unit: School of Civil, Environmental and Mining Engineering