UTas02: Spatial mapping of Antarctic ice algal biomass using machine learning
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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Jul 20, 2019 | Past undergraduate projects | 0
In this project, the selected student will develop a numerical algorithm to generate a spatial map of Antarctic ice algal biomass using Machine Learning.
Read MoreJul 20, 2019 | Past undergraduate projects | 0
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.
Read MoreJul 19, 2019 | Past undergraduate projects | 0
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.
Read MoreJul 19, 2019 | Past undergraduate projects | 0
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.
Read MoreJul 19, 2019 | Past undergraduate projects | 0
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.
Read MoreThere are no upcoming events at this time.