September 3, 2021 8:51 am
Published by Climate Extremes
It has long been suggested in the literature, and discussed casually by meteorologists, that rainfall in Melbourne often occurs as lines of precipitation. However, this had yet to be quantified. CLEX researchers analysed 15 years of radar data from the Australian Radar Archive, using an objective method to identify and track these ‘linear systems’ based on radar reflectivity, size, and shape characteristics.
August 23, 2021 8:36 am
Published by Jenny Rislund
This project will explore the use of supervised and unsupervised statistical learning methods (such as neural networks, random forest, clustering) to understand the impact of climate change on hydrological extremes and/or to simulate downstream impacts on affected sectors, such as agriculture, energy, transport, water resources management.
August 18, 2021 12:06 pm
Published by Jenny Rislund
In Melbourne, 50% of rainfall and 75% of extreme daily rainfall occurs on days with at least one linearly organized convective system. However, thunderstorms are often localized events, and much of the rainfall in a region falls over a short period of time. Furthermore, not all thunderstorms necessarily occur in lines, and organized storms that lead to extreme sub-daily rainfall may be different from those that lead to extreme daily rainfall. This projects aims to identify and categorize organizational structures linked with the most intense rainfalls in the region.
August 18, 2021 9:15 am
Published by Jenny Rislund
Due to the lack of appropriate historical datasets, quantification of shifts in global extreme precipitation intensity has not been possible so far. This project will use a recently developed long-term global dataset of daily precipitation alongside a dataset of global temperature changes to calculate the CC scaling for broad climatic regions across the globe.
August 18, 2021 9:14 am
Published by Jenny Rislund
Recent research has shown that mean (raining) and extreme (pouring) changes can align in some regions. This project will use a recently developed long-term global dataset of daily precipitation to answer why, how and where changes in mean frequency and intensity align with changes in extreme frequency and intensity of precipitation.
April 26, 2021 1:21 pm
Published by Jenny Rislund
This project will explore the characteristics of the linear systems -- size, orientation, propagation - that lead to the most extreme rainfall events.
March 30, 2021 10:32 am
Published by Jenny Rislund
The accumulation of rainfall over a given area depends on a range of things, including duration, intensity, and propagation speed. It is the characteristics of convection that ultimately determine these rainfall properties. The idea for this project is to use a simple method to characterise the properties of the most intense convective / rainfall bearing systems from radar data.
October 20, 2020 9:43 am
Published by Climate Extremes
CLEX researchers explore the challenges of identifying atmospheric rivers and find that detecting these events is highly variable according to resolution, and choice of the integrated water vapour transport thresholds. The uncertainties in a single detection method and data parameters may be as large as uncertainties across AR detection methodologies.
August 10, 2020 3:34 pm
Published by Climate Extremes
Observations over Kuala Lumpur and climate model experiments reveal how the warmth of cities compared to the surrounding area enhance extreme rainfall events.
August 6, 2020 1:26 pm
Published by Jenny Rislund
This project will assess how precipitation projections for Australia from global and regional models scale using the latest start-of-the-art regional and global climate models.
