HPE's new supercomputer speed up weather predictions

[Paul_Santilli]

The process of predicting accurate weather patterns has always been a challenge for meteorologists. The complexity is in observing and processing vast amounts of data, and because most of the weather stations would never be able to collect, process and store so much information. With traditional models, the systems have to read huge data sets from several weather stations that would take many hours to predict the weather accurately. With this, HPE has announced that it has built a new supercomputer for the Meteorological Service Singapore (MSS) to advance weather forecasting and tropical climate research for Singapore and the broader Southeast Asia region.

The new supercomputer replaces MSS’ existing system, delivering nearly twice as much performance and advanced capabilities across compute, storage, software and networking. The enhanced supercomputing power will help increase forecast skills through improved numerical model configurations and advanced data assimilation of ground-and space-based weather observations in MSS’ numerical weather prediction system called ‘SINGV’. SINGV was developed by MSS’ Centre for Climate Research Singapore (CCRS) through collaborations with UK Met Office and partners, and configured specifically for weather forecasts and climate applications in Singapore and the nearby region. 

Additionally, the supercomputer will enable the use of modern forecast postprocessing algorithms, using machine learning techniques, to improve the quality of forecasts. The enhanced computational power will also allow the further development of the following high-resolution models to deliver improved weather and climate products:

• Sub-kilometer scale urban modeling (uSINGV), which is being developed to represent the urban environment more appropriately in weather and climate applications.
  
  
• Coupled ocean-atmosphere-land-wave modeling system (cSINGV) to capture and improve the understanding of the strong feedbacks between the atmosphere, land and ocean, which have a significant impact on the weather and climate over the Southeast Asia region.

Follow us on Twitter | Join our LinkedIn group | Read OEM Solutions blog on the HPE Community | Read the press release

Paul Santilli
Hewlett Packard Enterprise

twitter.com/hpe_partner
LinkedIn/groups/6988995/
hpe.com/us/en/solutions/OEM