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Responding to and preparing for extreme weather events
Research ProjectFollowing extreme weather events in 2023, NIWA reprioritised research to help affected communities recover and prepare for the future. -
River flow forecasting
Research ProjectNIWA is developing a national river flow forecasting tool for New Zealand that aims to support and strengthen our planning for and response to extreme rainfall events. -
High resolution drought forecasting
Research ProjectNIWA and the Ministry for Primary Industries (MPI) are working together to develop a new drought forecasting tool. -
RiskScape software
Research ProjectRiskScape is a software application for analysing natural hazard consequences. -
Mā te haumaru ō ngā puna wai ō Rākaihautū ka ora mō ake tonu
Research ProjectThis five-year NIWA-led research programme is developing a system to map flood hazard consistently across the whole country. It will reveal how our flood risk might change over the next 100 years because of changes to rainfall and sea level from climate change, as well as due to land-use changes. -
Forecasting weather systems
Research ProjectNIWA’s research into forecasting weather systems aims to increase the resilience of New Zealand communities to weather-related hazards. -
AI flood maps: forecasting where and when, in real-time
Research ProjectFloods are New Zealand’s most frequent and costly natural disaster. Fast and accurate forecasting of flood impacts is crucial for reducing the risk to life, property, and infrastructure. -
Better runoff and hazard predictions through national-scale snowmelt forecasting
Research ProjectDeveloping a snowmelt forecast system to enable more accurate and confident forecasts of river flow and alpine hazards. -
Future Coasts Aotearoa
Transforming coastal lowland systems threatened by sea-level rise into prosperous communities -
Forecasting impacts from extreme weather
Research ProjectThis project aims to establish connections between weather and river flow forecasting, inundation prediction and risks to people and assets. -
Identifying rip currents using artificial intelligence
Research ProjectNIWA and Surf Life Saving New Zealand are working together to develop a state-of-the-art, rip current identification tool underpinned by artificial intelligence (AI) and deep learning technologies. -
Explainer: Uncertainties in flood risk assessments
Research ProjectUniversity of Canterbury’s Professor Matthew Wilson, one of the Mā te haumaru ō te wai research team, gives us some insight on uncertainty.weather