Professor Lucy Marshall

Professor Lucy Marshall

Civil and Environmental Engineering

Research interest

I quantify new conceptualizations of hydrologic processes and develop methods for model diagnostics and uncertainty analysis (especially via Bayesian statistics and multi-model methods).

Interest in engineering

Why did you get into engineering?

I am very interested in problem solving, especially problems that arise due to management of Australia’s limited natural resources. Water is a fundamental resource, essential for survival, and I am very interested in the dynamics of water resources and how we can forecast water availability.

What are your research goals?

To develop new methods for quantifying available water resources, whether that is by new types of hydrologic models, new analysis of field observations, or better ways of assessing and using existing models.

What do people not understand about you do?

That models can be hugely useful for developing hypotheses about how natural systems will respond to change, but will always have uncertainties associated with them.


Ph.D. Civil and Environmental Engineering, University of New South Wales, 2006.

Master of Engineering Science, University of New South Wales, 2002.

Bachelor of Civil Engineering, University of New South Wales, 2001. 

(+61 2) 9385 7944
Vallentine Annexe (H22) Level 1, Room VA132 Kensington Campus
  • Journal articles | 2020
    Ly K; Metternicht G; Marshall L, 2020, 'Linking changes in land cover and land use of the lower mekong basin to instream nitrate and total suspended solids variations', Sustainability (Switzerland), vol. 12, pp. 2992 - 2992,
    Journal articles | 2019
    Ly K; Metternicht G; Marshall L, 2019, 'Transboundary river catchment areas of developing countries: Potential and limitations of watershed models for the simulation of sediment and nutrient loads. A review', Journal of Hydrology: Regional Studies, vol. 24,
    Journal articles | 2019
    Nury AH; Sharma A; Marshall L; Mehrotra R, 2019, 'Characterising uncertainty in precipitation downscaling using a Bayesian approach', Advances in Water Resources, vol. 129, pp. 189 - 197,
    Journal articles | 2018
    Beuzen T; Splinter KD; Marshall LA; Turner IL; Harley MD; Palmsten ML, 2018, 'Bayesian Networks in coastal engineering: Distinguishing descriptive and predictive applications', Coastal Engineering, vol. 135, pp. 16 - 30,
    Journal articles | 2018
    Pathiraja S; Moradkhani H; Marshall L; Sharma A; Geenens G, 2018, 'Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation', Water Resources Research, vol. 54, pp. 1252 - 1280,
    Journal articles | 2018
    Splinter KD; Beuzen T; Marshall L, 2018, 'A comparison of methods for discretizing continuous variables in Bayesian Networks.', Environmental Modelling and Software, vol. 108, pp. 61 - 66,
    Journal articles | 2017
    Simmons JA; Harley MD; Marshall LA; Turner IL; Splinter KD; Cox RJ, 2017, 'Calibrating and assessing uncertainty in coastal numerical models', Coastal Engineering, vol. 125, pp. 28 - 41,
    Journal articles | 2014
    Nott DJ; Fan Y; Marshall L; Sisson SA, 2014, 'Approximate Bayesian computation and Bayes' linear analysis: Toward high- dimensional ABC', Journal of Computational and Graphical Statistics, vol. 23, pp. 65 - 86,
    Journal articles | 2013
    Jeremiah E; Marshall L; Sisson SA; Sharma A, 2013, 'Specifying a hierarchical mixture of experts for hydrologic modeling: Gating function variable selection', Water Resources Research, vol. 49, pp. 2926 - 2939,
    Journal articles | 2012
    Jeremiah E; Sisson SA; Sharma A; Marshall LA, 2012, 'Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling', Environmental Modelling and Software, vol. 38, pp. 283 - 295,
    Journal articles | 2012
    Schleier JJ; Peterson RKD; Irvine KM; Marshall LM; Weaver DK; Preftakes CJ, 2012, 'Environmental fate model for ultra-low-volume insecticide applications used for adult mosquito management', Science of the Total Environment, vol. 438, pp. 72 - 79,
    Journal articles | 2008
    Smith TJ; Marshall LA, 2008, 'Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques', Water Resources Research, vol. 44,
    Journal articles | 2005
    Marshall LA; Nott DJ; Sharma A, 2005, 'Hydrological model selection: A Bayesian alternative - art no. W10422', Water Resources Research, vol. 41, pp. 1 - 11