Implementation of the WRF-Chem model in Grid Computing and GPU for regional air quality forecasting

WRF-Chem is the WRF coupled with Chemistry. The model simulates the coupling between atmospheric dynamics, radiation and chemistry, and is used for investigation of regional-scale air quality, field program analysis, and cloud-scale interactions between clouds and chemistry. WRF-Chem can predict transport of atmospheric constituents and radiation of O3 and UV [1]. The WRF-Chem processing takes long execution time, and needs high storage space. The porting to Grid Computing and GPU can significantly reduce the overall run-time, since the model supports distributed and shared memory computations. Grid Computing and GPU are two innovative technologies in High Performance Computing, aiming to accelerate compute-intensive applications.