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Long time series of sea level measurements are required to distinguish patterns of natural variability from global warming pattern. Research brief: Longer observations needed to exclude sea level's natural variability
Long time series of sea level measurements are required to distinguish patterns of natural variability from global warming pattern.
There are distinct differences between datasets based solely on in situ station observations and those that incorporate satellite data. Research brief: Extreme precipitation rains on data accuracy
There are distinct differences between datasets based solely on in situ station observations and those that incorporate satellite data.
It is important to accurately simulate soil moisture variability and trends to correctly project future climate extremes. Research brief: Climate models must simulate soil moisture to accurately predict heat
It is important to accurately simulate soil moisture variability and trends to correctly project future climate extremes.
This paper describes our investigations into the shape of ocean turbulence. Research brief: Wave shapes and ocean turbulence
This paper describes our investigations into the shape of ocean turbulence.
In early 2016, ARCCSS affiliated researchers participated in a Southern Ocean voyage aboard the RV Investigator. Southern Ocean collaborative expedition
In early 2016, ARCCSS affiliated researchers participated in a Southern Ocean voyage aboard the RV Investigator.
Bias correcting the mean state climate within the future climate change simulations would improve regional climate sensitivity predictions. Bias correcting mean state climate improves climate sensitivity predictions.
Predictions of future man made climate change are based on highly complex climate models.
Simple conceptual understanding will help provide a basis for better predicting ENSO variability and its diversity. Simple ocean atmosphere dynamic may make ENSO variabllity easier to forecast
Simple conceptual understanding will help provide a basis for better predicting ENSO variability and its diversity.
Overnight humidity has the strongest effect on hospital admissions, followed by daytime temperature. Research brief: How temperature and humidity impact hospital admissions in Darwin
Overnight humidity has the strongest effect on hospital admissions, followed by daytime temperature.
ARCCSS researchers propose a new method to more accurately estimate natural variability in climate models. Research brief: New method gives more accurate measure of natural variability
ARCCSS researchers propose a new method to more accurately estimate natural variability in climate models.
Leela Frankcombe et al explore how to distinguish actual sea level rise from impacts of natural variabilty. Research brief: Distinguishing actual sea-level rise from natural variability
Leela Frankcombe et al explore how to distinguish actual sea level rise from impacts of natural variabilty.
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