CLEX researchers found the ocean around Antarctica will warm under future emission scenarios, with the level of warming under the high emission scenario almost double that under the medium-low emission scenario.
In a recent CLEX study, published in Climatic Change, researchers discuss the choices taken at each step, which may affect the final outcome and usefulness of extreme event attribution analyses.
CLEX Director, Prof Andy Pitman has been elected as a Fellow of the Australian Academy of Science for his outstanding contribution to climate change.
The Royal Society has called for an international next-generation climate modelling centre (pdf), based on new cutting-edge high-performance computing and data services to support efforts toward net-zero emissions and to enable effective climate adaptation.
On Thursday, April 8, 2021, Gerald A Meehl (NCAR) presented a seminar, Mutually interactive decadal-timescale processes connecting the tropical Atlantic and Pacific.
In this study, CLEX researchers aimed to evaluate the effect of different sources of data and the uncertainties in satellite data, by comparing the data with a ground-based radar product using both location-based and storm-based approaches.
Major gaps exist in our understanding of the pathways between the generation and the breaking of internal waves in the Southern Ocean. This has important implications for the distribution of internal wave-driven turbulent mixing, for the sensitivity of ocean mixing rates, and for the representation of ocean mixing in numerical models.
Recent studies have debated whether the two types of sudden stratospheric warming – displacement events when the vortex is displaced off the Pole and split events when the vortex splits into two smaller vortices – have differing near-surface impacts.
CLEX researchers have constructed the oldest daily historical climate dataset for Perth, southwestern Australia, to provide an extended record for analysing pre‐industrial climate variability and extremes for the region.
An international team of researchers performed a systematic evaluation of simulations made by nine FireMIP models in order to quantify their ability to reproduce a range of fire and vegetation benchmarks.