This project will use output from state-of-the-art climate simulations of the Last Millennium (850–2005 CE) to explore the long-term variability of an Australian climate driver of the student’s choice. The student will explore the natural variability of that driver to determine its long-term context, and compare with palaeoclimate reconstructions (proxies) where possible.
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The proposed project involves generalising FourierFlows.jl so that it can run both on CPUs and on GPUs effortlessly. Running simulations on GPUs will enable up to 100 or even 200-times speedups.
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The aim of this student project is to investigate the impacts of climate change on hydrological extremes, such as high runoff events, hydrological or agricultural drought. It uses outputs of the AWRA-L hydrological model, which underpins the BoM’s Australian Landscape Water Balance website.
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The aim of this student project is to investigate the effect of bias correction and downscaling methods on hydrological projections for Australia.
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The aim of this student project is to investigate the relationships between hydrological extremes (especially soil moisture drought) and wheat production in Australia. The outcome of the project may inform the development seasonal forecasts of hydrological indicators for agricultural production in Australia.
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The objective of this project is to develop and evaluate a post-processing method to correct gridded runoff forecasts. Improving the accuracy of gridded runoff forecasts helps to improve the skill of predictions of extreme events, such as the risk of flooding or drought.
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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.
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The proposed project aims to implement this new turbulence diagnostic scheme and evaluate its performance using high-resolution Himawari-8 imagery. Using data from the aviation industry, some preliminary verification of the diagnostic will be undertaken. Additional observational and model data will be used to investigate turbulence-prone atmospheric conditions and processes (e.g. wind shear, mountain waves, etc).
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The objective of the project is to use a combination of station-based measurements and reanalyses (e.g. BARRA, ERA-5) to create a climatology of precipitable water for Australia. After creating the dataset, the student will also analyse trends and variability.
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In this project, the selected student will use the satellite-based data obtained from the National Snow and Ice Data Center (NSIDC) to give an overall comparison of the sea ice variations in Arctic and Antarctic during the recent decades.
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In this project, we will investigate the links between precipitation extremes and the Interdecadal Pacific Oscillation (IPO), including its signature in El Niño–Southern Oscillation (ENSO) impacts, across tropical land regions.
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This project defines a new PV that naturally generalizes the 1942 PV to multicomponent fluids such as these. We will assess the quality of its conservation law in both oceanographic and atmospheric datasets, comparing against those for previous definitions of PV.
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We are seeking a summer student to help understand the asymmetric and often surprising behaviour of the ocean in response to rapid warming and cooling to better understand the ocean’s role in climate change.
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The summer student on this project will make use of recent observations and combine these novel machine learning and image processing techniques to understand the drivers of recent ocean change.
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This study aims to evaluate the air temperature data crowdsourced from such sensing units, Netatmo’ citizen weather stations (CWS), used at multiple locations around Sydney area and analyse its application for monitoring the urban climate in this region.
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This student project will determine the probability of a drought being terminated by an extreme precipitation event to assess the risk of drought-induced flooding. For this the student will assess observations, reanalysis data and results from a large climate model ensemble.
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This student project will focus on spatially correlated events in Australia that occurred in the past 30 to 40 years. Using observations over this time period the student will catalogue past compound events; assess possible trends in their occurrence; check for preferred spatial correlation patterns; and assess if these were accurately reproduced in reanalysis products (e.g. BARRA, ERA-5 and/or ERA-Interim).
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This project will explore different methods of assessing cumulative exposure to air pollution in order to make suggestions as to how we might best make policy recommendations that protect the health of all Australians, including vulnerable communities.
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In this project, the student will learn more about the effects of the Millennium drought on the surface energy budget, particularly on the ratio of sensible heat flux to latent heat flux (i.e. SH/LH).
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This project aims to discover where and when regional climate models improve (or not) on the simulation of Australian heatwaves, relative to their host global climate models.
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This project will quantify the impact of the front on air-sea exchange of heat and characterise how air-sea exchange and upper ocean properties change across the front.
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In this project we will look at one of the two following questions: Do marine heatwaves occur preferentially in certain seasons, and if so why? Do marine heatwaves produce a consistent response in ocean primary production?
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There is compelling evidence that under different climate states (e.g. glacial-interglacial cycles), the Atlantic Ocean has experienced significant water mass reorganisations and circulation changes. This project aims to better constrain these variations, using models able to simulate proxy variations.
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The primary goal of this project is to conduct an evaluation of the CMIP5 models for precipitation extremes over Australia. To that end, the student will assess how models simulate key precipitation metrics in comparison to observations.
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This project will explore the potential for developing site-based and event-based extreme weather indices for parametric crop insurance using reanalyses of atmospheric climate variables.
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In this project, you will use unique data collected during the Antarctic winter to understand the interactions between PSCs, the tropopause, and very cold cirrus clouds which are present in the upper troposphere. You will also determine how small-scale changes in stratospheric winds influence the occurrence, composition and brightness of PSCs.
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In this project, the selected student will develop a numerical algorithm to generate a spatial map of Antarctic ice algal biomass using Machine Learning.
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Research brief: Climate model projections of Philippines typhoon activity
Research brief: Phosphorus poor soils half Amazon’s ability to take up carbon dioxide
Research brief: The dynamics of summer heatwaves over Sydney
Research brief: How tropical convection is influenced by surrounding atmosphere
