PM<sub>2.5</sub> concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022

Hao, Hongfei; Wang, Kaicun; Wu, Guocan; Liu, Jianbao; Li, Jing

doi:https://doi.org/10.5194/essd-16-4051-2024

Articles | Volume 16, issue 9

https://doi.org/10.5194/essd-16-4051-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-4051-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 9

Data description paper

|

12 Sep 2024

Data description paper |

| 12 Sep 2024

PM_2.5 concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022

Hongfei Hao, Kaicun Wang, Guocan Wu, Jianbao Liu, and Jing Li

Data sets

PM2.5 concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022 Hongfei Hao et al. https://doi.org/10.11888/Atmos.tpdc.301127

Short summary

In this study, daily PM_2.5 concentrations are estimated from 1959 to 2022 using a machine learning method at more than 5000 terrestrial sites in the Northern Hemisphere based on hourly atmospheric visibility data, which are extracted from the Meteorological Terminal Aviation Routine Weather Report (METAR).