Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 13
Articles | Volume 16, issue 13
https://doi.org/10.5194/gmd-16-3827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 13
Development and technical paper
 | 
11 Jul 2023
Development and technical paper |  | 11 Jul 2023

An approach to refining the ground meteorological observation stations for improving PM2.5 forecasts in the Beijing–Tianjin–Hebei region

Lichao Yang, Wansuo Duan, and Zifa Wang

Data sets

Air quality data in China China National Environmental Monitoring Centre (CNEMC) http://www.cnemc.cn/en/

NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive NCEP https://doi.org/10.5065/D65D8PWK

An approach to refining the ground meteorological observation stations L. C. Yang and W. S. Duan https://doi.org/10.5281/zenodo.7627369

The CNOPs for PM2.5 forecasts in the Beijing-Tianjin-Hebei region L. C. Yang and W. S. Duan https://doi.org/10.5281/zenodo.7627556

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Short summary
An approach is proposed to refine a ground meteorological observation network to improve the PM2.5 forecasts in the Beijing–Tianjin–Hebei region. A cost-effective observation network is obtained and makes the relevant PM2.5 forecasts assimilate fewer observations but achieve the forecasting skill comparable to or higher than that obtained by assimilating all ground station observations, suggesting that many of the current ground stations can be greatly scattered to avoid much unnecessary work.
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