New study highlights local warming is expected to accelerate beyond the global average in mid latitude regions, especially in summer. Over oceans the rise will be below global average warming.
CLEX researchers with the Bureau of Meteorology have created a new 20-year-long regularly updated precipitation dataset for Australia using 50 radar sites. This will allow researchers to examine the climatology of extreme events, follow cloud processes, estimate hail size, determine cloud top height and much more.
Using novel ocean glider technology, a team of researchers from France, Norway, and Australia observed small eddy-like lenses of cold water in July 2017 along the western Svalbard shelf in the Arctic.
CLEX researchers find strong correlation between ozone hole size and Australian summer temperatures. While there is no causal link between the two, the changes are driven by the same source - ocean temperatures.
In this project, the selected student will use a one-dimensional numerical ocean model to simulate and understand the physical and biogeochemical processes in the ocean near Australia. The student will utilise the long-term oceanographic measurements conducted at one of the National Reference Stations maintained by the Australian Integrated Marine Observing System (i.e., the Maria Island, the Port Hacking, and the Rottnest Island).
A successful workshop on the science of multi-year drought was recently held at Monash University in Melbourne, where 50 experts from Australia, and small number of experts from the UK and the US, met to discuss what we know about the science of these droughts in Australia.
How wet the soil is before a storm can determine the amount of rain that falls. This research also produced some interesting findings for rainfall in Australia.
This work examines how climate projections are affected by using different subsets of available climate models. The researchers find several variables need to be optimised independently to get the best results.
Two papers by Centre of Excellence researchers are the first to systematically investigate and document hybrid cyclones in the Australian region.
Calibration errors in the widely used Global Inventory Monitoring and Modeling System Version 3 NDVI (GIMMSv3.0g) dataset caused significant errors in the trends over some of Australia’s dryland regions. Though identified over Australia, the problematic calibration in the GIMMSv3.0g dataset may have effected dryland NDVI values globally. These errors have been addressed in the updated GIMMSv3.1g which is strongly recommended for use in future studies.