Air-Quality Numerical Forecast HPC Solution

HPC for objective, real-time numerical air-quality forecasting used internationally alongside statistical methods.

Deep Optimization Capability

Optimize atmospheric numerical forecast models and the hardware-software environment for operational applications to fully unleash the platform’s computing power

Green, Energy-Efficient, and Environmentally Friendly

Annual average PUE can be as low as below 1.2, lowering cost and meeting national energy-saving, emissions-reduction, and green low-carbon requirements

Integrated Architecture Design

HPC systems, storage systems, cluster-management software, air-quality forecast models, ensemble forecast systems, and other hardware and software

Online Expansion Design

The compute-processing, global storage, service-processing, and interconnection systems can expand online without downtime

Solution Architecture

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Sugon’s air-quality numerical-forecast high-performance solution includes four layers—hardware, data, model, and application—fusing Sugon’s professional HPC and air-quality numerical-model systems, able to provide users an end-to-end overall solution. After years of practice, Sugon has accumulated rich system installation and commissioning experience and maintains close cooperation with leading professional-software vendors in numerical forecasting; the solution is specially optimized in completeness, advancement, maturity, scalability, and green energy saving:

Hardware layer:Including compute, storage, network, and other systems, providing a hardware environment with high floating-point, I/O, and data-exchange performance for air-quality forecast and warning system operation, supporting the most advanced cold-plate or immersion liquid cooling, and providing related hardware and software with a stable, reliable, green, energy-saving runtime.

Data layer:Build an air-quality “air-space-ground” integrated monitoring system, forming all-weather, large-range, stereo monitoring capability; establish a monitoring-system database; based on real-time and historical recorded data and analysis results, predict and forecast environmental-pollution status and trends in the jurisdiction, providing data support for effectively controlling environmental status and a scientific basis for environmental-protection decisions.

Model layer:Includes independently developed air-quality forecast models and supports integrating mainstream industry WRF, CAMx, WRF-Chem, CMAQ, and other models.

Application layer:Including system-management, system-monitoring, and resource-scheduling software for cluster management, cluster-status monitoring, cluster-resource management, and more; provide EasyOP application-level HPC butler services covering remote cluster O&M, on-site inspection, and application-level technical support; provide forecast-system software, pollution-source tracing analysis software, pollution-control decision-support systems, and more.


Solution Value

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