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Interpolation is ubiquitous in climate and weather models. NeSI team members Alexander Pletzer and Wolfgang Hayek have developed a new interpolation method that will improve the UK Met Office's ability to forecast weather events.

"Sea level rise will have a compounding effect for coastal flooding on reef coastlines."

"The new code implemented is much faster and runs more efficient on NeSI platforms, which allows me to concentrate more on my research and less on computer science aspects."

“Parsing through this amount of information requires machines with plenty of memory and computing power.”

"I appreciate the NeSI staff’s assistance in helping me move to NeSI's Cray XC50 supercomputer and achieving this significant boost in productivity."

“Because we can analyse such large datasets with NeSI, we can generate large catalogues of earthquakes and look at earthquake occurrence over much longer periods of time.”

"NeSI’s support on this project has been extremely valuable and will improve the accuracy of our flood forecasts.”

“There’s no other way to run these models. They really need that infrastructure. The models are getting bigger and bigger and the systems need to keep up.”

“From my perspective, it was extraordinarily beneficial to have access to NeSI as resource, it really transformed what I thought I would be able to do. The field of statistics at the moment is really on the edge and is advancing all the time."

“The UK Met Office and NIWA have relied on NeSI staff’s deep knowledge of interpolation techniques to assess the strengths and limitations of different earth system data regridding packages.”