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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
12 Sep 2024
Data description paper |
| 12 Sep 2024
| 12 Sep 2024
PM2.5 concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022
Hongfei Hao
Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Institute of Carbon Neutrality, Sino-French Institute of Earth System Science, College Urban and Environmental Sciences, Peking University, Beijing 100871, China
Guocan Wu
Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jianbao Liu
Institute of Carbon Neutrality, Sino-French Institute of Earth System Science, College Urban and Environmental Sciences, Peking University, Beijing 100871, China
Institute of Carbon Neutrality, Sino-French Institute of Earth System Science, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
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Short summary
In this study, daily PM2.5 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).
In this study, daily PM2.5 concentrations are estimated from 1959 to 2022 using a machine...
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