Meteorological Service Singapore Advances Weather Forecasting with New Supercomputer from Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) has unveiled a new supercomputer for the Meteorological Service Singapore (MSS), enhancing weather forecasting and climate studies in Singapore and Southeast Asia. The system offers nearly 2X performance with a peak of 401.4 teraflops, utilizing advanced technologies like 3rd Gen AMD EPYC processors and HPE Slingshot. This upgrade allows improved modeling, machine learning capabilities, and sophisticated climate predictions, driving innovation in national digital initiatives.
- New supercomputer delivers nearly 2X performance boost with a peak of 401.4 teraflops.
- Enhanced capabilities for advanced climate modeling and simulation.
- Utilizes cutting-edge technologies like 3rd Gen AMD EPYC processors and HPE Slingshot.
- None.
New supercomputer will speed up weather predictions and bolster climate research into Singapore’s tropical climate trends with up to 2X more performance and advanced modeling and simulation capabilities
As climate modelling becomes increasingly complex due to new seasonal patterns, it requires faster, more sophisticated supercomputing capabilities. HPE’s supercomputing solutions accelerate weather forecasting across the globe to provide real-time analysis by delivering significant computational performance and end-to-end capabilities to model and simulate climate data.
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’
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 modelling (uSINGV), which is being developed to represent the urban environment more appropriately in weather and climate applications
-
Coupled ocean-atmosphere-land-wave modelling 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
“Singapore continues to drive its national initiatives with supercomputing projects that significantly contribute to science, accelerate innovation and improve a range of areas for the greater good of its citizens,” said
The MSS, which is part of Singapore’s
“At CCRS, our scientists and software engineers are committed to developing advanced modelling systems and examining complex data to provide timely weather forecasts for our nation, which due to the island’s unique geological positioning, often experiences various of weather processes on a daily basis,” said Prof.
MSS is gaining nearly 2X more performance, with a peak performance 401.4 teraflops, using the following set of new technologies spanning compute, networking, storage and software:
- 196 3rd Gen AMD EPYC™ processors to target modeling and simulation of weather and climate data
- HPE Slingshot, the world’s only high performance Ethernet fabric designed to power data-intensive and AI solutions, delivers an additional boost in speed while enabling congestion control for larger data-intensive and AI workloads
- Cray ClusterStor E1000 storage parallel system from HPE and HPE Data Management Framework to address storage demands of data growth and complexity from an increase of workloads in modeling, simulation and AI
- HPE Cray Operating System and HPE Cray Programming Environment to allow users to access a fully integrated software suite to optimize modeling, simulations and AI workloads
Additionally, as with MSS’ previous Cray-based supercomputer, the new system will continue to use Altair® PBS Professional®, one of the industry’s leading job scheduling and workload manager solutions to efficiently scale and optimize various modeling, simulation and AI workloads.
The supercomputer is hosted at the CCRS’s Data Centre.
To learn more about CCRS’ research efforts that the new supercomputer will support, please visit: http://ccrs.weather.gov.sg/
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Pratyusha Pusapati
pratyusha.pusapati@omnicomprgroup.com
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