To better assess the degree of organisation in radar observations CLEX researchers developed the Radar Organisation Metric (ROME). ROME's statistical properties suggest it is able to distinguish between the degree of convective organisation, and it also captures different regimes of the monsoon in Northern Australia.
Models used to project future climate change, and impacts of climate change on plants and ecosystems, currently assume that mature forests will continue to absorb carbon over and above their current levels, acting as carbon sinks. The findings from this research suggest that those sinks may in actual fact be weaker or absent for forests on low-nutrient soils.
This study presents a method for combining multiple observational datasets of the energy and water budgets at the land surface from different sources into a single hybrid dataset that conserves energy and mass.
Research has established a link between Antarctic stratospheric winds and an increased risk of weather conducive to bushfires from late spring to early summer. Further research on the relationship between winds and ozone in the Antarctic stratosphere could improve seasonal forecasts for Australia.
This two part paper examines the capacity of ACCESS to simulate tropical cyclone climatology and then used the same model to examine the relationship between climate variables and tropical cyclone formation.
Focusing on the land regions around the world, the researchers assessed the representation of annual maximum of daily precipitation (Rx1day) across 22 observational products gridded at 1°x1° resolution.
Observational studies over Darwin, Australia, show gravity waves provide a plausible explanation for the patterns of noteworthy variability in mesoscale motions. The findings suggest a two‐way coupling of clouds to their environment
In this study, CLEX researchers and colleagues analysed the magnitude and sensitivity of vegetation responses to the Millennium Drought with satellite-derived information.
A new study by CLEX researchers and colleagues shows that CMIP5 models as a group, when forced by observed sea surface temperatures underestimate, these atmospheric feedbacks on average by 23%. This underestimate can be linked to the wrong location at which climate models simulate the most important tropical circulation, called the Walker circulation.
When the “Beast from the East” brought cold temperatures and heavy snowfall to western Europe in February and March 2018, a lot of people were quick to link the extreme weather to a sudden stratospheric warming (SSW) that had recently occurred. CLEX researchers found there was a surprising lack of research on the relationship between SSWs and climate extremes in Europe using observations, so they sought to look at this in more detail to see if this link can really be made.