Environmental monitoring is conducted based on numerical forecasting. In this process, basic meteorological data is used in combination with local emissions inventory of the city. In addition, the concentration in pollution source and pollution flows are interpreted by calculating the photochemical process of pollution emission, and the predictions are finally obtained. Both computations of photochemical process of pollution emission and pollution flow require a large amount of computational resources, so the accuracy of numerical forecasting is closely correlated to the power of the high-performance computer.
Examples of Typical Software Applications
Air quality forecast and evaluation system
CMAQ, WRF-Chem, CAMx, NAQPMS
Multi-scale air quality model
ISC3, EKMA, ADMS, AERMOD,UAM,RAMS
Atmospheric emission source inventory treatment model
HPC Workflow for Environmental Protection Application
With its own expert team and cooperation with relevant research institutes, Inspur has achieved numerous successes in research for weather forecasting, integrated forecasting of air pollution and intelligent fusion, comprehensive data analysis and assimilation, real-time large-scale simulation, dynamic emission analysis, etc. It has first-hand experience in multiple international mainstream numerical forecasting models.
Application Performance Features
For numerical forecasting, massive environmental monitoring data need to be processed within a time limit and the accuracy of computational results is required to be very high, so that governments, institutions and enterprises can provide timely and accurate air quality services. From the technical perspective, numerical forecasting is a typical computation intensive application, requiring the computational power of a high-performance computational platform. Additionally, massive data need to be exchanged with the storage during computation, therefore, only a high-speed interconnected network and GB/s level super-high I/O throughput bandwidth can meet the requirements from environmental forecasting.