We have developed a new hindcast and forecast for storm surge and waves for the whole of New Zealand by using different modelling approaches. This data offers an incredible opportunity to study coastal inundation at different New Zealand beaches. We are particularly interested in studying the coastline from Muriwai to the entrance of the Kaipara Harbour. Future sea-level rise and flooding could impact Woodhill Forest (https://www.woodhillforest.co.nz/) and so the cultural landscape/ commercial estate of Ngāti Whātua o Kaipara. Our interest is for a student keen to engage in the physical aspects of the problem whilst understanding the cultural value of the site.
- Project co-supervised by Malcolm Paterson (Ngā Maunga Whakahii o Kaipara Ngahere Ltd).
Waves are a key component to understand and predict coastal processes such as coastal erosion and inundation. Under the scenarios of climate change and sea-level rise increase of the storms are expected which will affect coastal communities. This project aims to assess uncertainties in wave projections in New Zealand to give a more reliable future wave prediction making use of machine learning and statistical techniques.
New Zealand has an incredible birds diversity. If you are passionate about nature and enjoy programing and learning new skills, we invite you to be part of this amazing project which aim is to identify birds’ song through machine learning techniques. The project requires knowledge of python and it is part of a collaboration with Andrew Schollum (https://www.puhoistour.co.nz/) and the UoA Centre for eResearch.
Beaches change constantly displaying different patterns, which in fact can help us to understand the beach behaviour and evolution. Using video-images we will train a machine-learning algorithm to identify the different morphodynamics beach states identifying patterns in the behaviour. This project will allow you to gain knowledge in coastal processes, imaging processing and machine learning techniques.