March 25, 2021 12:01 pm
Published by Climate Extremes
This paper used statistical techniques to investigate changes in extreme climate events that currently occur, on average, only once every 20 years. These techniques are applied to data related to heat, rainfall, drought and conditions conducive to bushfires and thunderstorms from detailed climate modelling commissioned by NSW and ACT Governments.
October 6, 2020 9:59 am
Published by Climate Extremes
Kim Reid's first peer review task is to review the manuscript of two of the biggest names in her field of expertise. In taking on this daunting challenge she finds a useful online guide and remembers the key teaching of a CLEX chief investigator, Dietmar Dommenget.
October 14, 2019 3:00 pm
Published by Climate Extremes
Statistics has always been vitally important to data science, and its importance is growing. With data scientists in critically short supply, however, the discipline is attracting talented people from many different disciplines, each bringing different and complementary skills to a data science team. Integral to such a team’s work are tasks that are standard fare in statistics. Examples include statistical inference, experimental design and supporting decision-making under uncertainty. Powerful approaches to these are well-known to experienced statisticians but not necessarily... View Article
October 14, 2019 2:22 pm
Published by Climate Extremes
Jane Watson (University of Tasmania). The Practice of Statistics at School: What does it look like in the classroom? Delivered at Newnham (A221c, A Block) Videoconference: Cradle Coast: (CC.A119, Building A); Sandy Bay (HH325, Hytten Hall)
April 15, 2019 11:57 am
Published by Climate Extremes
Hydrological extremes by their very nature are rare events and require careful use of statistical methods to ensure robust and reliable predictions. Talk summary Hydrological extremes by their very nature are rare events and require careful use of statistical methods to ensure robust and reliable predictions. This presentation focuses on two case studies of the application of statistical methods in hydrological engineering. The first example is the use of discrete wavelet transforms to better understand the drivers of multi-year droughts... View Article
March 11, 2019 4:35 pm
Published by Climate Extremes
Shirley Coleman (Newcastle University, UK)
