Maximum temperatures in Australia during spring have exceeded historic records on multiple occasions in recent years. Understanding what drives these high temperatures may lead to better forecasts of extreme heat in the future.
Tag Archive: climate dynamics
Using atmospheric model experiments, researchers have shown that the warming of the tropical Indian Ocean relative to the other two tropical ocean basins can effectively control Walker Circulation changes in the Pacific and Atlantic oceans and influence climate far beyond the Indian Ocean region.
CLEX researchers investigate the mysterious annual mid-summer drought that occurs in Central America and Mexico, and find a range of regional influences that alter its timing and characteristics.
CLEX researchers have developed Australia’s longest daily temperature record, identifying a decrease in cold extremes and an increase in heatwaves around Adelaide since 1838.
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.
We are seeking an engaged, enthusiastic individual for a postdoctoral research position investigating the dynamics of high-latitude climates.
CLEX researchers found that applying a statistical correction to projected sea surface temperatures has a major impact on changes to rainfall with global warming, leading to a 25% reduction in future precipitation projected for the south-western Pacific.
By employing an atmosphere-only version of ACCESS, CLEX researchers generated multiple sea surface temperature patterns of the same El Nino and La Nina events, and assessed how this influenced heatwaves over various Australian regions.
A new study explores a new, probabilistic way of prediction of stratospheric warming events in the Northern Hemisphere based on dynamical arguments produces meaningful forecasting information around ten times longer than traditional model forecasting.