Select Publications
Journal articles
2024, 'Examining the role of biophysical feedbacks on simulated temperature extremes during the Tinderbox Drought and Black Summer bushfires in southeast Australia', Weather and Climate Extremes, 45, http://dx.doi.org/10.1016/j.wace.2024.100703
,2024, 'Improving Multi-model Ensembles of Climate Projections through Time Variability Correction and Ensemble Dependence Transformation', , http://dx.doi.org/10.5194/egusphere-egu24-6796
,2024, 'Revisiting Tabular Machine Learning and Sequential Models to Advance Climate Downscaling', , http://dx.doi.org/10.5194/egusphere-egu24-7111
,2024, 'Australia’s Tinderbox Drought: An extreme natural event likely worsened by human-caused climate change', Science Advances, 10, http://dx.doi.org/10.1126/sciadv.adj3460
,2024, 'Time Variability Correction of CMIP6 Climate Change Projections', Journal of Advances in Modeling Earth Systems, 16, http://dx.doi.org/10.1029/2023MS003640
,2024, 'Enhancing Regional Climate Downscaling through Advances in Machine Learning', Artificial Intelligence for the Earth Systems, 3, http://dx.doi.org/10.1175/aies-d-23-0066.1
,2023, 'Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation', Environmental Research Letters, 18, http://dx.doi.org/10.1088/1748-9326/ace463
,2023, 'What is the probability that a drought will break in Australia?', Weather and Climate Extremes, 41, http://dx.doi.org/10.1016/j.wace.2023.100598
,2023, 'Opening Pandora's box: Reducing global circulation model uncertainty in Australian simulations of the carbon cycle', Earth System Dynamics, 14, pp. 549 - 576, http://dx.doi.org/10.5194/esd-14-549-2023
,2023, 'Using Machine Learning to Cut the Cost of Dynamical Downscaling', Earth's Future, 11, http://dx.doi.org/10.1029/2022EF003291
,2023, 'Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019', Journal of Remote Sensing (United States), 3, http://dx.doi.org/10.34133/remotesensing.0005
,2022, 'Reconciling historical changes in the hydrological cycle over land', npj Climate and Atmospheric Science, 5, http://dx.doi.org/10.1038/s41612-022-00240-y
,2022, 'Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network', Global Change Biology, 28, pp. 3489 - 3514, http://dx.doi.org/10.1111/gcb.16141
,2022, 'Toward a Robust, Impact-Based, Predictive Drought Metric', Water Resources Research, 58, http://dx.doi.org/10.1029/2021WR031829
,2021, 'Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts', Earth System Dynamics, 12, pp. 919 - 938, http://dx.doi.org/10.5194/esd-12-919-2021
,2021, 'New forest aboveground biomass maps of China integrating multiple datasets', Remote Sensing, 13, http://dx.doi.org/10.3390/rs13152892
,2021, 'Robust historical evapotranspiration trends across climate regimes', Hydrology and Earth System Sciences, 25, pp. 3855 - 3874, http://dx.doi.org/10.5194/hess-25-3855-2021
,2021, 'Towards a robust, impact-based, predictive drought metric', , http://dx.doi.org/10.1002/essoar.10507062.1
,2021, 'Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts', , http://dx.doi.org/10.5194/esd-2021-31
,2020, 'Evaluating precipitation datasets using surface water and energy budget closure', Journal of Hydrometeorology, 21, pp. 989 - 1009, http://dx.doi.org/10.1175/JHM-D-19-0255.1
,2020, 'Conserving land-atmosphere synthesis suite (CLASS)', Journal of Climate, 33, pp. 1821 - 1844, http://dx.doi.org/10.1175/JCLI-D-19-0036.1
,2019, 'Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product', Hydrology and Earth System Sciences, 23, pp. 851 - 870, http://dx.doi.org/10.5194/hess-23-851-2019
,2018, 'Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate', Hydrology and Earth System Sciences, 22, pp. 1317 - 1336, http://dx.doi.org/10.5194/hess-22-1317-2018
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