Select Publications
Preprints
2024, Benchmarking Historical Model Performance Increases Confidence in Regional Precipitation Projections, http://dx.doi.org/10.22541/essoar.172748723.33331987/v1
,2024, How well do climate modes explain precipitationvariability?, http://dx.doi.org/10.21203/rs.3.rs-4867098/v1
,2024, Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling over Southeast Asia Using a Standardised Benchmarking Framework, http://dx.doi.org/10.5194/gmd-2024-84
,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
,2022, Extreme Compound and Seesaw Hydrometeorological Events in New Zealand: An Initial Assessment, http://dx.doi.org/10.22541/essoar.167065577.74280394/v1
,2021, Understanding the changing nature of marine cold spells, http://dx.doi.org/10.1002/essoar.10508759.1
,2020, Insights from CMIP6 for Australia's future climate, http://dx.doi.org/10.1002/essoar.10501525.1
,2019, Enhanced warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics, http://dx.doi.org/10.5194/esd-2019-36
,2019, FROGs: a daily 1° × 1° gridded precipitation database ofrain gauge, satellite and reanalysis products, http://dx.doi.org/10.5194/essd-2019-51
,2019, Rainfall Estimates on a Gridded Network (REGEN) – A global land-based gridded dataset of daily precipitation from 1950–2013, http://dx.doi.org/10.5194/hess-2018-595
,2014, Investigating uncertainties in global gridded datasets of climate extremes, http://dx.doi.org/10.5194/cpd-10-2105-2014
,2012, Effects of land cover change on temperature and rainfall extremes in multi-model ensemble simulations, http://dx.doi.org/10.5194/esdd-3-597-2012
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