Articles | Volume 22, issue 19
https://doi.org/10.5194/acp-22-13229-2022
https://doi.org/10.5194/acp-22-13229-2022
Research article
 | 
14 Oct 2022
Research article |  | 14 Oct 2022

Spatiotemporal continuous estimates of daily 1 km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework

Qingyang Xiao, Guannan Geng, Shigan Liu, Jiajun Liu, Xia Meng, and Qiang Zhang

Related authors

Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018
Qingyang Xiao, Yixuan Zheng, Guannan Geng, Cuihong Chen, Xiaomeng Huang, Huizheng Che, Xiaoye Zhang, Kebin He, and Qiang Zhang
Atmos. Chem. Phys., 21, 9475–9496, https://doi.org/10.5194/acp-21-9475-2021,https://doi.org/10.5194/acp-21-9475-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Influence of covariance of aerosol and meteorology on co-located precipitating and non-precipitating clouds over the Indo-Gangetic Plain
Nabia Gulistan, Khan Alam, and Yangang Liu
Atmos. Chem. Phys., 24, 11333–11349, https://doi.org/10.5194/acp-24-11333-2024,https://doi.org/10.5194/acp-24-11333-2024, 2024
Short summary
Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa
Myungje Choi, Alexei Lyapustin, Gregory L. Schuster, Sujung Go, Yujie Wang, Sergey Korkin, Ralph Kahn, Jeffrey S. Reid, Edward J. Hyer, Thomas F. Eck, Mian Chin, David J. Diner, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, and Hans Moosmüller
Atmos. Chem. Phys., 24, 10543–10565, https://doi.org/10.5194/acp-24-10543-2024,https://doi.org/10.5194/acp-24-10543-2024, 2024
Short summary
The emission, transport, and impacts of the extreme Saharan dust storm of 2015
Brian Harr, Bing Pu, and Qinjian Jin
Atmos. Chem. Phys., 24, 8625–8651, https://doi.org/10.5194/acp-24-8625-2024,https://doi.org/10.5194/acp-24-8625-2024, 2024
Short summary
California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States
James L. Gomez, Robert J. Allen, and King-Fai Li
Atmos. Chem. Phys., 24, 6937–6963, https://doi.org/10.5194/acp-24-6937-2024,https://doi.org/10.5194/acp-24-6937-2024, 2024
Short summary
Remote Sensing detectability of airborne Arctic dust
Norman T. O’Neill, Keyvan Ranjbar, Liviu Ivănescu, Yann Blanchard, Seyed Ali Sayedain, and Yasmin AboEl-Fetouh
EGUsphere, https://doi.org/10.5194/egusphere-2024-1057,https://doi.org/10.5194/egusphere-2024-1057, 2024
Short summary

Cited articles

Bai, K., Li, K., Guo, J., and Chang, N.-B.: Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy?, ISPRS J. Photogramm., 184, 31–44, https://doi.org/10.1016/j.isprsjprs.2021.12.002, 2022a. 
Bai, K., Li, K., Ma, M., Li, K., Li, Z., Guo, J., Chang, N.-B., Tan, Z., and Han, D.: LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion, Earth Syst. Sci. Data, 14, 907–927, https://doi.org/10.5194/essd-14-907-2022, 2022b. 
Bai, Z., Wang, J., Wang, M., Gao, M., and Sun, J.: Accuracy assessment of multi-source gridded population distribution datasets in China, Sustainability, 10, 1363, https://doi.org/10.3390/su10051363, 2018. 
Barrington-Leigh, C., and Millard-Ball, A.: The world’s user-generated road map is more than 80 % complete, PLoS One, 12, e0180698, https://doi.org/10.1371/journal.pone.0180698, 2017. 
Dobson, J. E., Bright, E. A., Coleman, P. R., Durfee, R. C., and Worley, B. A.: LandScan: a global population database for estimating populations at risk, Photogramm. Eng. Rem. S., 66, 849–857, 2000. 
Download
Short summary
We provided complete coverage PM2.5 concentrations at a 1-km resolution from 2000 to the present, carefully considering the significant changes in land use characteristics in China. This high-resolution PM2.5 data successfully revealed the local-scale PM2.5 variations. We noticed changes in PM2.5 spatial patterns in association with the clean air policies, with the pollution hotspots having transferred from urban centers to rural regions with limited air quality monitoring.
Altmetrics
Final-revised paper
Preprint