NeSI Case Study Consultancy Ting Wang Amina Shahzadi University of Otago

Using statistical models to help New Zealand prepare for large earthquakes

"The help that we received from this NeSI consultancy project was crucial to our research project."
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NeSI Case Study Stephen Stuart NIWA

Improving researchers' ability to access and analyse climate model data sets

"NeSI has helped us efficiently build a large repository of climate model data from research institutes around the world, which we can now share and analyse in a local supercomputing environment. "
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Speeding up the post-processing of a climate model data pipeline

"Before NeSI helped with this project, I was facing cases where I could not compute all the diagnostics required in a realistic time frame and therefore this consultancy has made possible what was simply impossible before."
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Solving mapping problems over NZ’s Wairarapa region

"They’ll fire it off to Mahuika and we’ll have a result back the next morning. In the past, this could have taken us a week or more."
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Overcoming data processing overload in scientific web mapping software

"To create the map caches for one of our tools would take about a month of continuous processing."
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Visualising ripple effects in riverbed sediment transport

“NeSI staff provided critical help at a critical time."
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NeSI Case Study Celine Cattoen Gilbert NIWA river forecast

New Zealand’s first national river flow forecasting system for flooding resilience

"Without NeSI’s input, we would have been much more limited. We wouldn’t have been able to develop a national-scale system running in real-time."
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NeSI Case Study Cyprien Bosserelle NIWA

A fast model for predicting floods and storm damage

"Rendering this grid in the traditional way is not trivial – it would take longer to render the result than run the model each time I wanted to find errors. I approached NeSI and we started talking about visualisation."
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NeSI Case Study Yoshihiro Kaneko GNS Science Hikurangi

How multithreading and vectorisation can speed up seismic simulations by 40%

GNS Science researchers are producing detailed images of the 3D structure and geometry of the Hikurangi mega-thrust region using a technique called seismic tomography.
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NeSI case study Giacomo Giorli NIWA

Machine learning for marine mammals

“By understanding the abundance and distribution of different marine mammals in New Zealand, we can inform conservation policy, management of marine resources, licensing for offshore activity and create better environmental impact assessments.”
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