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UMELB02: Convection and extreme rainfall characteristics using radar

March 30, 2021 10:32 am Published by Comments Off on UMELB02: Convection and extreme rainfall characteristics using radar

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.

UMELB01: TRENDS OF FOSSIL FUEL AND POLLUTANT EMISSIONS IN SOUTHEAST ASIAN CITIES BASED ON SATELLITE DATA AND MACHINE LEARNING

August 24, 2020 2:40 pm Published by Comments Off on UMELB01: TRENDS OF FOSSIL FUEL AND POLLUTANT EMISSIONS IN SOUTHEAST ASIAN CITIES BASED ON SATELLITE DATA AND MACHINE LEARNING

In this project the student will apply a new algorithm to map the expansion of cities across Southeast Asia. Combining this with proxies of energy consumption and fossil fuel emission the student will establish trends in regional emissions and project these emission trends into the future.

MON02: THE ANTARCTIC OZONE HOLE AND AUSTRALIAN RAINFALL

August 6, 2020 3:47 pm Published by Comments Off on MON02: THE ANTARCTIC OZONE HOLE AND AUSTRALIAN RAINFALL

In this project you will investigate the competing effects the Antarctic ozone hole and increasing greenhouse gases have on the Australian summer season rainfall, using the latest climate models. These are now available on the National Computing Infrastructure (NCI) supercomputer and are being used as input into the Intergovernmental Panel on Climate Change’s Sixth Assessment Report.

CSIRO03: Exploring the dynamics of decadal variability and transitions in climate teleconnections

August 6, 2020 1:47 pm Published by Comments Off on CSIRO03: Exploring the dynamics of decadal variability and transitions in climate teleconnections

This project will focus on the connection between conceptual climate models and high resolution general circulation models (GCMs). The student will analyse simplified models that represent teleconnection behaviour and calibrate them to reflect the settings of a GCM. The student will also have access to high dimensional GCM output and can compare an ensemble of “real-world” simulations to the behaviour of the conceptual model using statistical methods.

CSIRO02: Analysing long tide gauge records in Australia in conjunction with the 20th Century reanalysis to better understand how extreme events and by association extreme sea level events are changing

August 6, 2020 1:46 pm Published by Comments Off on CSIRO02: Analysing long tide gauge records in Australia in conjunction with the 20th Century reanalysis to better understand how extreme events and by association extreme sea level events are changing

Understanding historical changes in extreme sea levels is necessary for the accurate projection of their changes over the next century. This project will look at digitized sea level data, to better understand the causes of extreme sea levels the southern Australian region and how these events vary over the duration of the record.

CSIRO01: When will the ozone layer recover? Estimating ozone layer recovery from climate model projections

August 6, 2020 1:45 pm Published by Comments Off on CSIRO01: When will the ozone layer recover? Estimating ozone layer recovery from climate model projections

The student will produce estimates of the future evolution of ozone depleting substance concentrations, so the recovery date of the ozone hole can be estimated. Importantly, it will also be possible to estimate the uncertainty around the recovery date.

UNSW08: What would happen if we suddenly warmed the entire ocean at the sea-surface?

August 6, 2020 1:35 pm Published by Comments Off on UNSW08: What would happen if we suddenly warmed the entire ocean at the sea-surface?

What would happen if we suddenly warmed the entire ocean at the sea-surface? Would suddenly cooling it down cause an equal and opposite response? Using ocean climate models we have carried out these and many more extreme experiments. The student will explore the asymmetric and often surprising behaviour of the ocean.

UNSW07: FIRE FRONT TRACKING

August 6, 2020 1:30 pm Published by Comments Off on UNSW07: FIRE FRONT TRACKING

Errors in identifying the fire scar - the portion of a long-lasting bushfire that is actively burning or smouldering, are the largest errors in forecasting emissions from these events. This project will develop and analyse fire progression tracking using data from the 2019 - 2020 bushfire season.