Articles | Volume 20, issue 6
Research article
19 Mar 2020
Research article |  | 19 Mar 2020

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

Jing Wei, Zhanqing Li, Maureen Cribb, Wei Huang, Wenhao Xue, Lin Sun, Jianping Guo, Yiran Peng, Jing Li, Alexei Lyapustin, Lei Liu, Hao Wu, and Yimeng Song

Related authors

Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations
Jing Wei, Zhanqing Li, Jun Wang, Can Li, Pawan Gupta, and Maureen Cribb
Atmos. Chem. Phys., 23, 1511–1532,,, 2023
Short summary
Trends in secondary inorganic aerosol pollution in China and its responses to emission controls of precursors in wintertime
Fanlei Meng, Yibo Zhang, Jiahui Kang, Mathew R. Heal, Stefan Reis, Mengru Wang, Lei Liu, Kai Wang, Shaocai Yu, Pengfei Li, Jing Wei, Yong Hou, Ying Zhang, Xuejun Liu, Zhenling Cui, Wen Xu, and Fusuo Zhang
Atmos. Chem. Phys., 22, 6291–6308,,, 2022
Short summary
Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)
Jing Wei, Zhanqing Li, Rachel T. Pinker, Jun Wang, Lin Sun, Wenhao Xue, Runze Li, and Maureen Cribb
Atmos. Chem. Phys., 21, 7863–7880,,, 2021
Short summary
Reviewing global estimates of surface reactive nitrogen concentration and deposition using satellite retrievals
Lei Liu, Xiuying Zhang, Wen Xu, Xuejun Liu, Xuehe Lu, Jing Wei, Yi Li, Yuyu Yang, Zhen Wang, and Anthony Y. H. Wong
Atmos. Chem. Phys., 20, 8641–8658,,, 2020
Short summary
The mechanisms and seasonal differences of the impact of aerosols on daytime surface urban heat island effect
Wenchao Han, Zhanqing Li, Fang Wu, Yuwei Zhang, Jianping Guo, Tianning Su, Maureen Cribb, Jiwen Fan, Tianmeng Chen, Jing Wei, and Seoung-Soo Lee
Atmos. Chem. Phys., 20, 6479–6493,,, 2020
Short summary

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China
Yuqin Liu, Tao Lin, Jiahua Zhang, Fu Wang, Yiyi Huang, Xian Wu, Hong Ye, Guoqin Zhang, Xin Cao, and Gerrit de Leeuw
Atmos. Chem. Phys., 24, 4651–4673,,, 2024
Short summary
Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations
Kangwen Sun, Guangyao Dai, Songhua Wu, Oliver Reitebuch, Holger Baars, Jiqiao Liu, and Suping Zhang
Atmos. Chem. Phys., 24, 4389–4409,,, 2024
Short summary
Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US
Jingting Huang, S. Marcela Loría-Salazar, Min Deng, Jaehwa Lee, and Heather A. Holmes
Atmos. Chem. Phys., 24, 3673–3698,,, 2024
Short summary
A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations
Piyushkumar N. Patel, Jonathan H. Jiang, Ritesh Gautam, Harish Gadhavi, Olga Kalashnikova, Michael J. Garay, Lan Gao, Feng Xu, and Ali Omar
Atmos. Chem. Phys., 24, 2861–2883,,, 2024
Short summary
Opinion: Aerosol remote sensing over the next 20 years
Lorraine A. Remer, Robert C. Levy, and J. Vanderlei Martins
Atmos. Chem. Phys., 24, 2113–2127,,, 2024
Short summary

Cited articles

Aggarwal, P. and Jain, S.: Impact of air pollutants from surface transport sources on human health: a modeling and epidemiological approach, Environ. Int., 83, 146–157, 2015. 
Bartell, S. M., Longhurst, J., Tjoa, T., Sioutas, C., and Delfino, R. J.: Particulate air pollution, ambulatory heart rate variability, and cardiac arrhythmia in retirement community residents with coronary artery disease, Environ. Health Persp., 121, 1135–1141, 2013. 
Brokamp, C., Jandarov, R., Hossain, M., and Ryan, P.: Predicting daily urban fine particulate matter concentrations using a random forest model, Environ. Sci. Tech., 52, 4173–4179, 2018. 
Calle, M. and Urrea, V.: Letter to the editor: satiability of random forest importance measures, Brief. Bioinform., 12, 86–89, 2011. 
Chen, G., Li, S., Knibbs, L., Hamm, N., Cao, W., Li, T., Guo, J., Ren, H., Abramson, M., and Guo, Y.: A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information, Sci. Total Environ., 636, 52–60, 2018. 
Short summary
This study introduced an enhanced space–time extremely randomized trees (STET) approach to improve the 1 km resolution ground-level PM2.5 estimates across China using the remote sensing technology. The STET model shows high accuracy and strong predictive power and appears to outperform most models reported by previous studies. Thus, it is of great importance for future air pollution studies at medium- or small-scale areas and will be applied to generate the historical PM2.5 dataset across China.
Final-revised paper