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https://doi.org/10.5194/essd-2020-121
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-121
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 Jul 2020

29 Jul 2020

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This preprint is currently under review for the journal ESSD.

A homogenized daily in situ PM2.5 concentration dataset from national air quality monitoring network in China

Kaixu Bai1,2,3, Ke Li3, Chengbo Wu3, Ni-Bin Chang4, and Jianping Guo5 Kaixu Bai et al.
  • 1Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China
  • 2Institute of Eco-Chongming, 20 Cuiniao Rd., Chongming, Shanghai, China
  • 3School of Geographic Sciences, East China Normal University, Shanghai, China
  • 4Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA
  • 5State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China

Abstract. In situ PM2.5 concentration observations have long been used as critical data sources in haze related studies. Due to the frequently occurred haze pollution episodes, China started to establish the national ambient air quality monitoring network in 2012 but without providing a data download interface to the public. In this study, a five-year long homogenized daily in situ PM2.5 concentration dataset was generated on the basis of discrete data records retrieved from the China National Environmental Monitoring Center (CNEMC) via a web crawler. A set of methods for the purposes of gap filling, data merging, homogeneity test, and bias correction were geared up seamlessly to improve the data integrity and to make essential adjustments to the inherent discontinues detected in each PM2.5 concentration record. After excluding those records with limited temporal coverage, a dataset including 1,309 long-term coherent PM2.5 concentration time series at a daily resolution between 2015 and 2019 was carefully compiled. This is the first thrust to homogenize in situ PM2.5 observations in China. The trend estimations derived from the homogenized dataset indicate a spatially homogeneous decreasing tendency of PM2.5 across China at a mean rate of about −7.6 % per year from 2015 to 2019. Compared with the raw PM2.5 concentration dataset, the homogenized dataset not only has a complete temporal coverage but is more consistent over space and time. This homogenized daily in situ PM2.5 concentration dataset is publicly accessible at https://doi.org/10.1594/PANGAEA.917557, which can be used as a significant data source for satellite-based PM2.5 concentration mapping, population exposure risk assessment, and air quality monitoring and management.

Kaixu Bai et al.

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Short summary
PM2.5 data from the national air quality monitoring network in China suffered from significant inconsistency and inhomogeneity issues. Toward creating 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 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...
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