Drought forecasting dashboard
NIWA and MPI are working together to develop a new drought forecasting tool. It uses innovative climate modelling, the latest in machine learning and other data-driven techniques to predict rainfall 35 days ahead. It will help farmers and growers better prepare for periods of dryness and drought.
Climate and weather
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AI-driven nowcasting at NIWA
Short-term weather prediction in real time -
New study reveals climate change is already impacting the Andes
Media release08 May 2025Seven nations sharing world’s longest mountain range already impacted by climate change -
Weather and climate experts set to unite
News article09 April 2025Weather and climate experts set to unite - Ministers' announcement. -
Extreme atmospheric rivers could double in future climate
Media release18 March 2025New Zealand could face twice as many of the most extreme atmospheric rivers by the end of the century. -
Future Coasts multi-hazards game
Research ProjectA serious game simulating a coastal lowland scenario under climate change to support adaptation decision-making and community engagement. -
Losing ground to sea-level rise
Research ProjectMangroves on the atoll of Ouvéa are struggling with the changing climate -
Microbes behind unprecedented surge in methane emissions
Media release25 November 2024Microbes - such as those living in wetlands, landfills or the digestive tracts of livestock – are behind unprecedented spikes in methane emissions. -
New Zealand Reanalysis (NZRA) dataset
Research ProjectNIWA has produced a high-resolution regional atmospheric reanalysis dataset, the New Zealand Reanalysis (NZRA). -
Forecasting floods in a fraction of the time with AI
Media release29 October 2024NIWA is using machine learning to forecast flood inundation in a fraction of the time required to run physical models. -
Climate Station daily/hourly data
ServiceNIWA collects daily/hourly data as part of the Climate Station Network. Parameters vary station to station. -
Climate Station raw data (10 min)
ServiceNIWA collects and generates as part of its Climate Station Network observational data in “10 min” format (data reported in 10 minute intervals). -
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.