,WRF-Chem PM2.5

Xingxing Ma1, Hongnian Liu1, Zhen Peng1

  • 1School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.

Environment international
|December 25, 2024
PubMed
概括

结合数据同化和偏差校正,可以显著改善PM2.5预测. 综合方法的表现优于单个方法,在空气质量预测方面提供了显著的准确性增长.