Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3197-2022
© Author(s) 2022. 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-14-3197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
12 Jul 2022
Data description paper |
| 12 Jul 2022
| 12 Jul 2022
Reconstructing 6-hourly PM2.5 datasets from 1960 to 2020 in China
Junting Zhong
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Xiaoye Zhang
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Center for Excellence in Regional Atmospheric Environment, IUE,
Chinese Academy of Sciences, Xiamen 361021, China
Ke Gui
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Jie Liao
National Meteorological Information Center, Beijing 100081, China
Ye Fei
National Meteorological Information Center, Beijing 100081, China
Lipeng Jiang
Earth System Numerical Prediction Center, Beijing 100081, China
Lifeng Guo
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Liangke Liu
Department of Earth System Science, Tsinghua University, Beijing
100084, China
Huizheng Che
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Yaqiang Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Deying Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Zijiang Zhou
National Meteorological Information Center, Beijing 100081, China
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- Integrating Augmented In Situ Measurements and a Spatiotemporal Machine Learning Model To Back Extrapolate Historical Particulate Matter Pollution over the United Kingdom: 1980–2019 R. Liu et al. 10.1021/acs.est.3c05424
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- Toward an Operational Machine-Learning-Based Model for Deriving the Real-Time Gapless Diurnal Cycle of Ozone Pollution in China with CLDAS Data N. Shang et al. 10.1021/acs.estlett.4c00106
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- State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods L. Gianquintieri et al. 10.1007/s10668-024-04781-5
- Long-term spatiotemporal variations of ammonia in the Yangtze River Delta region of China and its driving factors J. Xue et al. 10.1016/j.jes.2024.02.021
- The development of ecological civilization in China based on the economic–social–natural complex system R. Xiao et al. 10.1007/s13280-023-01937-x
30 citations as recorded by crossref.
- Burden of major cancers in China attributable to modifiable risk factors: Predictions from 2012 to 2035 W. Pei et al. 10.1002/ijc.35233
- Influence of aerosol–meteorology interactions on visibility during a wintertime heavily polluted episode in Central‐East, China X. Zhang et al. 10.1002/met.2207
- PM2.5 concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022 H. Hao et al. 10.5194/essd-16-4051-2024
- Exploring Global Land Coarse-Mode Aerosol Changes from 2001–2021 Using a New Spatiotemporal Coaction Deep-Learning Model Z. Zang et al. 10.1021/acs.est.3c07982
- Pollution exposure and social conflicts: Evidence from China's daily data J. Li & G. Meng 10.1016/j.jeem.2023.102870
- Anthropogenic warming degrades spring air quality in Northeast Asia by enhancing atmospheric stability and transboundary transport Y. Ryu & S. Min 10.1038/s41612-024-00603-7
- Immediate Impacts of Air Pollution on the Performance of Football Players J. Li et al. 10.1177/15270025241260031
- Development of the CMA-ChemRA: China Regional Weakly Coupled Chemical-Weather Reanalysis System with product since 2007 T. Zhang et al. 10.1016/j.scitotenv.2024.177552
- Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao 10.3390/rs15164069
- Characterizing land use transition in China by accounting for the conflicts underlying land use structure and function Y. Zou et al. 10.1016/j.jenvman.2023.119311
- Time Effects of Global Change on Forest Productivity in China from 2001 to 2017 J. Wang et al. 10.3390/plants12061404
- Contribution of ecological restoration projects to long-term changes in PM2.5 Y. Yang et al. 10.1016/j.ecolind.2024.111630
- The antagonistic effect of urban growth pattern and shrinking cities on air quality: Based on the empirical analysis of 174 cities in China Y. Rao et al. 10.1016/j.scs.2023.104752
- Integrating Augmented In Situ Measurements and a Spatiotemporal Machine Learning Model To Back Extrapolate Historical Particulate Matter Pollution over the United Kingdom: 1980–2019 R. Liu et al. 10.1021/acs.est.3c05424
- Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al. 10.1007/s00704-023-04356-w
- Toward an Operational Machine-Learning-Based Model for Deriving the Real-Time Gapless Diurnal Cycle of Ozone Pollution in China with CLDAS Data N. Shang et al. 10.1021/acs.estlett.4c00106
- Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China B. Wu et al. 10.1016/j.atmosenv.2024.120347
- Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism X. Yan et al. 10.1016/j.envpol.2023.121509
- Synergistic Effect of El Niño and Arctic Sea‐Ice Increment on Wintertime Northeast Asian Anomalous Anticyclone and Its Corresponding PM2.5 Pollution X. An et al. 10.1029/2022JD037840
- Study on the Precursor Signal Capturing of Unfavorable Weather: Months/Years in Advance to Ultra-Early Forecast for Hourly Transient Weather Changes during the Beijing Winter Olympics D. Wang et al. 10.1155/2022/1409229
- Influence of the mid-high-latitude Eurasian ISO on PM2.5 concentration anomaly in North China during boreal winter S. Yang et al. 10.1007/s00382-023-07033-w
- Effectiveness and driving mechanism of ecological restoration efforts in China from 2009 to 2019 Y. Zhang et al. 10.1016/j.scitotenv.2023.168676
- Fluctuations in the “static” atmosphere and their effects on tropospheric ozone distribution J. Xiaofei et al. 10.1016/j.jastp.2024.106268
- Attenuation of mountain-valley circulations on PM2.5 pollution over the western Sichuan basin, southwest China Y. Zhang et al. 10.1016/j.apr.2023.101796
- PM2.5 estimation and analysis of BiCNN model considering spatiotemporal characteristics: a case study of the middle reaches of the Yangtze River urban agglomeration S. Wu et al. 10.1007/s00704-023-04775-9
- Changes of terrestrial water storage during 1981–2020 over China based on dynamic-machine learning model E. Zhu et al. 10.1016/j.jhydrol.2023.129576
- Influences of atmospheric intraseasonal oscillation in mid–high latitudes on winter haze pollution over the Beijing‐Tianjin‐Hebei region D. Wu et al. 10.1002/joc.8023
- State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods L. Gianquintieri et al. 10.1007/s10668-024-04781-5
- Long-term spatiotemporal variations of ammonia in the Yangtze River Delta region of China and its driving factors J. Xue et al. 10.1016/j.jes.2024.02.021
- The development of ecological civilization in China based on the economic–social–natural complex system R. Xiao et al. 10.1007/s13280-023-01937-x
Discussed (final revised paper)
Latest update: 13 Dec 2024
Short summary
Historical long-term PM2.5 records with high temporal resolution are essential but lacking for research and environmental management. Here, we reconstruct site-based and gridded PM2.5 datasets at 6-hour intervals from 1960 to 2020 that combine visibility, meteorological data, and emissions based on a machine learning model with extracted spatial features. These two PM2.5 datasets will lay the foundation of research studies associated with air pollution, climate change, and aerosol reanalysis.
Historical long-term PM2.5 records with high temporal resolution are essential but lacking for...
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Final-revised paper
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