Community

NeSI provides a range of services, people, expertise, and information to help computational research projects become reality

Aerial view of floodwaters surrounding farmhouses. Photo credit Alan Blacklock, NIWA.

GPUs power up desktop flood modelling

"With NeSI at my front door, the amount of research questions I can consider is exponentially greater.”
Subject: 
Screenshot of the simulation model Scion researchers are using to study wilding conifer seed dispersal.

War on wildings

"Building a scientific model/theory to solve complex real world problems is one thing but scaling it up to solve the problems in a timely manner and utilizing all the modern computational resources is another."
Subject: 
A view from Ruthe Point on Rotoroa Island, looking southwest over the Hauraki Gulf.  Image: RadishSlice, Wikimedia Commons

Modelling water quality in catchment of the Hauraki Gulf

"A welcome aspect was the very patient supportive approach of the consultants in training novice NeSI users to actually learn and use NeSI..."
Subject: 
Coastline view of the New Zealand town of Kaikoura. Image by alimison from Pixabay.

Understanding New Zealand’s ever-changing climate in an uncertain future

“We don’t know what is going to happen to New Zealand on a local scale with climate change unless we use high-resolution models. It shows you changes on a scale that actually affects you.”
Subject: 
Photo of Alena Malyarenko in Antarctica

Improving research approaches to predicting sea level rise

"The number of tests that were conducted in this Consultancy would not be possible to run by me in such a short time period."
Subject: 
A screenshot of an interpolation simlulation run by researcher Tom Etherington.

Supporting ecological research through enhanced interpolation capability

“I will now be able to make better maps of environmental variables, and hence much better models of species distributions."
Subject: 

Improved tracking of land cover changes

James Shepherd wanted to reduce the turnaround time for processing his data, so he applied for a Consultancy project with NeSI research software engineers.
Subject: 

Quantifying uncertainty in palaeoecological data

"During the consultancy I learned a great deal about how to program efficiently, implement unit testing, and how seemingly tiny changes to a script can have a great effect on the required time and computer resources."
Subject: 
A close up view of rain drops hitting a road.

Predicting precipitation using machine learning

"NeSI experts introduced new technical ideas and tools which we will use and implement elsewhere."
Subject: 

Supporting global collaborations

"Extensive use of NeSI’s HPC resources helped QuakeCoRE to produce world-class research output, which made our research internationally visible."
Subject: