This study looks at 6 months of under-ice zooplankton observations from the N-ICE2015 expedition from January to June 2015 in the Eurasian sector of the Arctic Ocean north of Svalbard.
This research uses Sydney, Australia’s largest city, as a test case for our new configuration of the Weather and Research Forecasting model run at a very high resolution of 800 m with a new urban classification scheme that describes the complexity of Sydney’s built environment.
In this study, CLEX researchers and colleagues showed that the North Atlantic sea-surface temperature response to ENSO is nonlinear with respect to the strength of the sea-surface temperature forcing in the tropical Pacific.
CLEX researchers used data from a wind profiler radar pair at Darwin, Australia, to determine the characteristics of individual up- and downdrafts observed at the site. They found updrafts with 5km vertical heights with extreme rain rates.
CLEX researcher Navid Constantinou and collaborators developed GeophysicalFlows.jl, a Julia package that provides solvers for geophysical fluid dynamics problems in periodic domains.
An unusual southern stratospheric warming event amplified the conditions that led to the Black Summer bushfires of 2019/20. CLEX researchers explored how frequently these rare warming events may occur with climate change.
In this study, CLEX researchers used aircraft observations from twenty flights during three Austral winters to study the microphysical and reflective properties of shallow convective clouds over the mid-latitude Southern Ocean.
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.
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.