CLEX researchers addressed the error compensation issue for temperature extremes by defining a novel performance metric that identifies those models that can simulate temperature extremes well and simulate them well for the right reasons.
The most advanced and comprehensive analysis of climate sensitivity yet undertaken has revealed with more confidence than ever before how sensitive the Earth’s climate is to carbon dioxide. The range has been reduced from 1.5°C-4.5°C down to 2.3°C-4.5°C.
New research suggests that increasing spatial resolution alone is not sufficient to obtain a systematic improvement in the simulation of precipitation extremes, and other improvements (e.g. physics, tuning) may be required.
CLEX researchers find the inclusion of upper South Pacific Ocean variability significantly improved the predictions of ENSO and PDO modes in simple linear inverse models.
This project seeks to better understand the changing nature of Australian droughts by synthesising satellite and ground observations in combination with state-of-the-art climate model projections.
An analysis of new climate model projections by Australian researchers from the ARC Centre of Excellence for Climate Extremes shows southwestern Australia and parts of southern Australia will see longer and more intense droughts due to a lack of rainfall caused by climate change.
New research shows regional climate models consistently provide added value across Australia compared to global climate models. As a result, researchers and policymakers can obtain plausible improvements in future climate projections from the current generation of available RCMs.
Central Europe has recently experienced extreme weather events, so researchers investigated whether this was the result of a weakening jet stream and changes to atmospheric circulation.
Australian researchers assess the ability of recently released climate models to simulate the climate of Australia and the new scenarios for 21st Century climate change.
By comparing two models, CLEX researchers found that the current generation of convection parameterisations fail to replicate the random, chaotic nature of real-life turbulent convection.