Select Publications
Preprints
2024, Correcting Multivariate Biases in RCM Boundaries: How are Synoptic Systems impacted over the Australian Region?, http://dx.doi.org/10.22541/essoar.172191676.64331899/v1
,2024, Design, evaluation and future projections of the NARCliM2.0 CORDEX-CMIP6 Australasia regional climate ensemble, http://dx.doi.org/10.5194/gmd-2024-87
,2024, Evaluation of CORDEX ERA5-forced ‘NARCliM2.0’ regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2, http://dx.doi.org/10.5194/gmd-2024-41
,2024, Sensitivity of Australian rainfall to driving SST datasets in a variable-resolution global atmospheric model, http://dx.doi.org/10.22541/essoar.170913616.69157157/v1
,2023, Australia’s Tinderbox Drought: an extreme natural event likely worsened by human-caused climate change, http://dx.doi.org/10.31223/x53q2b
,2023, A systematic review of climate change science relevant to Australian design flood estimation, http://dx.doi.org/10.5194/hess-2023-232
,2023, Can sub-daily multivariate bias correction of regional climate model boundary conditions improve simulation of the diurnal precipitation cycle?, http://dx.doi.org/10.22541/essoar.168351202.25973894/v1
,2023, Biases in estimating long-term recurrence intervals of extreme events due to regionalised sampling, http://dx.doi.org/10.22541/essoar.167839988.80634934/v1
,2022, Analysis and characterisation of extreme wind gust hazards in New South Wales, Australia, http://dx.doi.org/10.21203/rs.3.rs-1563734/v1
,2021, A Radar Object-Based Examination of Rain System Climatology and Including Climate Variability, http://dx.doi.org/10.21203/rs.3.rs-783979/v1
,2020, Robust historical evapotranspiration trends across climate regimes, http://dx.doi.org/10.5194/hess-2020-595
,2020, A Markov chain method for weighting climate model ensembles, http://dx.doi.org/10.5194/gmd-2020-253
,2020, Strong intensification of hourly rainfall extremes by urbanization, http://dx.doi.org/10.1002/essoar.10504164.1
,2018, Accounting for Skill in Trend, Variability, and Autocorrelation Facilitates Better Multi-Model Projections: Application to the AMOC and Temperature Time Series, http://dx.doi.org/10.48550/arxiv.1811.03192
,2014, Resolving vorticity-driven lateral fire spread using the WRF-Fire coupled atmosphere-fire numerical model, http://dx.doi.org/10.5194/nhessd-2-3499-2014
,2010, Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals, http://dx.doi.org/10.5194/hessd-7-6699-2010
,2010, Influence of cracking clays on satellite observed and model simulated soil moisture, http://dx.doi.org/10.5194/hessd-7-907-2010
,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
,Introducing Narclim1.5: Evaluation and Projection of Climate Extremes for Southeast Australia, http://dx.doi.org/10.2139/ssrn.4174746
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