Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-3067-2020
© Author(s) 2020. 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-12-3067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
25 Nov 2020
Data description article |
| 25 Nov 2020
| 25 Nov 2020
A homogenized daily in situ PM2.5 concentration dataset from the national air quality monitoring network in China
Kaixu Bai
Key Laboratory of Geographic Information Science (Ministry of
Education), East China Normal University, Shanghai, China
Institute of Eco-Chongming, 20 Cuiniao Rd., Chongming, Shanghai, China
School of Geographic Sciences, East China Normal University, Shanghai,
China
Ke Li
School of Geographic Sciences, East China Normal University, Shanghai,
China
Chengbo Wu
School of Geographic Sciences, East China Normal University, Shanghai,
China
Ni-Bin Chang
Department of Civil, Environmental, and Construction Engineering,
University of Central Florida, Orlando, FL, USA
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, China
Viewed
Total article views: 4,260 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jul 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,955 | 1,167 | 138 | 4,260 | 501 | 156 | 200 |
- HTML: 2,955
- PDF: 1,167
- XML: 138
- Total: 4,260
- Supplement: 501
- BibTeX: 156
- EndNote: 200
Total article views: 3,717 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Nov 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,698 | 888 | 131 | 3,717 | 310 | 146 | 185 |
- HTML: 2,698
- PDF: 888
- XML: 131
- Total: 3,717
- Supplement: 310
- BibTeX: 146
- EndNote: 185
Total article views: 543 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jul 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 257 | 279 | 7 | 543 | 191 | 10 | 15 |
- HTML: 257
- PDF: 279
- XML: 7
- Total: 543
- Supplement: 191
- BibTeX: 10
- EndNote: 15
Viewed (geographical distribution)
Total article views: 4,260 (including HTML, PDF, and XML)
Thereof 3,945 with geography defined
and 315 with unknown origin.
Total article views: 3,717 (including HTML, PDF, and XML)
Thereof 3,432 with geography defined
and 285 with unknown origin.
Total article views: 543 (including HTML, PDF, and XML)
Thereof 513 with geography defined
and 30 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
21 citations as recorded by crossref.
- Global validation of the Particulate Observing Scanning Polarimeter (POSP) Aerosol Optical Depth products over land Z. Ji et al.
- Reconstruction of daily haze data across China between 1961 and 2020 Y. Yu et al.
- Regional source apportionment of trace metals in fine particulate matter using an observation-constrained hybrid model K. Liao et al.
- Estimating spatio-temporal variability of aerosol pollution in Yunnan Province, China F. Zhou et al.
- Unraveling the spatiotemporal dynamics and drivers of surface and tropospheric ozone in China S. Yin et al.
- The Speciated isoprene emission model with the MEGAN algorithm for China (SieMAC) S. Xi et al.
- Spatiotemporal Evolution and Influencing Factors of Air Pollutants in the Three Major Urban Agglomerations of the Yellow River Basin Y. Yin et al.
- Performance assessment and application of AlphaEarth embedding in air quality - Changchun PM2.5 Case C. Fang et al.
- Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy? K. Bai et al.
- Construction of homogenized daily surface air temperature for the city of Tianjin during 1887–2019 P. Si et al.
- LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion K. Bai et al.
- Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al.
- Prenatal exposure to fine particulate matter chemical constituents and the risk of stillbirth and the mediating role of pregnancy complications: A cohort study T. Shi et al.
- Optimizing air quality monitoring spatial layout by maximizing the coverage of the population in Beijing–Tianjin–Hebei and surrounding areas J. Xi et al.
- Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde H. Yin et al.
- Development of a data-driven three-dimensional PM2.5 forecast model based on machine learning algorithms Z. Han et al.
- Spatiotemporal variations and trends of air quality in major cities in Guizhou F. Lu et al.
- Impact of boundary layer schemes in RegCM-Chem on East Asian climate and its response to the aerosol-radiation interaction H. Cao et al.
- Impact of near-surface turbulence on PM2.5 concentration in Chengdu during the COVID-19 pandemic X. Xia et al.
- Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots H. Shi et al.
- SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions K. Bai et al.
21 citations as recorded by crossref.
- Global validation of the Particulate Observing Scanning Polarimeter (POSP) Aerosol Optical Depth products over land Z. Ji et al.
- Reconstruction of daily haze data across China between 1961 and 2020 Y. Yu et al.
- Regional source apportionment of trace metals in fine particulate matter using an observation-constrained hybrid model K. Liao et al.
- Estimating spatio-temporal variability of aerosol pollution in Yunnan Province, China F. Zhou et al.
- Unraveling the spatiotemporal dynamics and drivers of surface and tropospheric ozone in China S. Yin et al.
- The Speciated isoprene emission model with the MEGAN algorithm for China (SieMAC) S. Xi et al.
- Spatiotemporal Evolution and Influencing Factors of Air Pollutants in the Three Major Urban Agglomerations of the Yellow River Basin Y. Yin et al.
- Performance assessment and application of AlphaEarth embedding in air quality - Changchun PM2.5 Case C. Fang et al.
- Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy? K. Bai et al.
- Construction of homogenized daily surface air temperature for the city of Tianjin during 1887–2019 P. Si et al.
- LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion K. Bai et al.
- Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al.
- Prenatal exposure to fine particulate matter chemical constituents and the risk of stillbirth and the mediating role of pregnancy complications: A cohort study T. Shi et al.
- Optimizing air quality monitoring spatial layout by maximizing the coverage of the population in Beijing–Tianjin–Hebei and surrounding areas J. Xi et al.
- Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde H. Yin et al.
- Development of a data-driven three-dimensional PM2.5 forecast model based on machine learning algorithms Z. Han et al.
- Spatiotemporal variations and trends of air quality in major cities in Guizhou F. Lu et al.
- Impact of boundary layer schemes in RegCM-Chem on East Asian climate and its response to the aerosol-radiation interaction H. Cao et al.
- Impact of near-surface turbulence on PM2.5 concentration in Chengdu during the COVID-19 pandemic X. Xia et al.
- Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots H. Shi et al.
- SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions K. Bai et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
PM2.5 data from the national air quality monitoring network in China suffered from significant inconsistency and inhomogeneity issues. To create a coherent PM2.5 concentration dataset to advance our understanding of haze pollution and its impact on weather and climate, we homogenized this PM2.5 dataset between 2015 and 2019 after filling in the data gaps. The homogenized PM2.5 data is found to better characterize the variation of aerosol in space and time compared to the original dataset.
PM2.5 data from the national air quality monitoring network in China suffered from significant...
Altmetrics
Final-revised paper
Preprint