Select Publications
Journal articles
, 2005, 'Towards a benchmark for land surface models', Geophysical Research Letters, 32, pp. L22702
, 2005, 'What are the limits to statistical error correction in land surface schemes when projecting the future', Geophysical Research Letters, 32, pp. L14403, http://dx.doi.org/10.1029/2005GL023158
Conference Papers
, 2015, 'Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in eastern Australia', in Proceedings 21st International Congress on Modelling and Simulation Modsim 2015, pp. 1565 - 1571
Conference Presentations
, 2021, 'Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation', http://dx.doi.org/10.5194/egusphere-egu21-1889
Reports
, 2013, The Community Atmosphere Biosphere Land Exchange (CABLE) model Roadmap for 2012-2017, The Centre for Australian Weather and Climate Research, Melbourne, 057, http://www.cawcr.gov.au/publications/technicalreports
, 2006, The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model, CSIRO, Research Technical Paper 013
Working Papers
, 2010, Good Practice Guidance Paper on Assessing and Combining Multi Model Climate Projections, University of Bern, Switzerland, http://dx.doi.org
Preprints
, 2025, Land Surface Model Underperformance Tied to Specific Meteorological Conditions, http://dx.doi.org/10.5194/egusphere-2025-4149
, 2025, High resolution monthly precipitation isotope estimates across Australia from machine learning, http://dx.doi.org/10.5194/egusphere-2025-2458
, 2025, Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes, http://dx.doi.org/10.48550/arxiv.2507.06527
, 2025, Towards resolving poor performance of mechanistic soil organic carbon models, http://dx.doi.org/10.5194/egusphere-2025-2545
, 2024, On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates, http://dx.doi.org/10.48550/arxiv.2409.13934
, 2024, A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation, http://dx.doi.org/10.22541/essoar.171352077.78968815/v2
, 2024, A Robust Generative Adversarial Network Approach for Climate Downscaling and Weather Generation, http://dx.doi.org/10.22541/essoar.171352077.78968815/v1
, 2024, An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling, http://dx.doi.org/10.5194/egusphere-2023-3016
, 2024, On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results, http://dx.doi.org/10.5194/egusphere-2023-3084
, 2023, Australia’s Tinderbox Drought: an extreme natural event likely worsened by human-caused climate change, http://dx.doi.org/10.31223/x53q2b
, 2022, Opening Pandora's box: How to constrain regional projections of the carbon cycle, http://dx.doi.org/10.5194/egusphere-2022-623
, 2021, Examining the Role of Environmental Memory in the Predictability of Carbon and Water Fluxes Across Australian Ecosystems, http://dx.doi.org/10.5194/bg-2021-254
, 2020, Robust historical evapotranspiration trends across climate regimes, http://dx.doi.org/10.5194/hess-2020-595
, 2018, Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing, http://dx.doi.org/10.5194/esd-2018-51
, 2017, Selecting a climate model subset to optimise key ensemble properties, http://dx.doi.org/10.5194/esd-2017-28
, 2015, A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas, http://dx.doi.org/10.5194/bgd-12-18999-2015
, 2014, A test of an optimal stomatal conductance scheme within the CABLE Land Surface Model, http://dx.doi.org/10.5194/gmdd-7-6845-2014
, 2014, Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100, http://dx.doi.org/10.5194/gmdd-7-3481-2014
, 2014, Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model, http://dx.doi.org/10.5194/bgd-11-4995-2014
, 2012, Towards a public, standardized, diagnostic benchmarking system for land surface models, http://dx.doi.org/10.5194/gmdd-5-549-2012
, 2012, A framework of benchmarking land models, http://dx.doi.org/10.5194/bgd-9-1899-2012
, 2011, The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land surface scheme v1.4b: evaluation of the control climatology, http://dx.doi.org/10.5194/gmdd-4-1611-2011
, What is the Probability that a Drought Will Break in Australia?, http://dx.doi.org/10.2139/ssrn.4251061
, A Cmip6-Based Multi-Model Downscaling Ensemble to Underpin Climate Change Services in Australia, http://dx.doi.org/10.2139/ssrn.4210919
Other
, 2025, Future drought changes in Australia from multiple projections, http://dx.doi.org/10.5194/egusphere-egu24-1920
, 2024, Supplementary material to "On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results", http://dx.doi.org/10.5194/egusphere-2023-3084-supplement
, 2023, Using Machine Learning to Reveal the Relationships Between Plant Functional Traits and Flux Regimes at Eddy-Covariance Towers, http://dx.doi.org/10.5194/egusphere-egu23-10049
, 2021, Supplementary material to "Examining the Role of Environmental Memory in the Predictability of Carbon and Water Fluxes Across Australian Ecosystems", http://dx.doi.org/10.5194/bg-2021-254-supplement
, 2021, Supplementary material to "A flux tower dataset tailored for land model evaluation", http://dx.doi.org/10.5194/essd-2021-181-supplement
, 2020, Supplementary material to "Robust historical evapotranspiration trends across climate regimes", http://dx.doi.org/10.5194/hess-2020-595-supplement
, 2019, Supplementary material to "A daily/25 km short-latency rainfall product for data scarce regions based on the integration of the GPM IMERG Early Run with multiple satellite soil moisture products", http://dx.doi.org/10.5194/hess-2019-387-supplement
, 2019, Supplementary material to "How representative are FLUXNET measurements of surface fluxes during temperature extremes?", http://dx.doi.org/10.5194/bg-2018-502-supplement
, 2018, Response to Anonymous Referee #1, Copernicus GmbH, http://dx.doi.org/10.5194/esd-2018-51-ac1
, 2015, Supplementary material to "Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model", http://dx.doi.org/10.5194/hessd-12-10789-2015-supplement