V4.CH.02
China Regional Estimates
- retired -
This dataset employs the same methodology used for V4.NA.02 to produce combined geophysical-statistical estimates of PM2.5 over China using the recently expanded PM₂.₅ measurement network in this region from May 2014 to December 2016, and extends these values back to 2000 using the interannual changes between the GM observed and non-GM observed time periods based on the geophysical satellite-derived values of van Donkelaar et al. (2015).
Ground-based PM₂.₅ measurements were obtained from http://beijingair.sinaapp.com/ over mainland China. These data are captured by individuals from instantaneous data records on the website of the Chinese EPA. Taiwanese PM₂.₅ measurements were downloaded from https://taqm.epa.gov.tw/taqm/tw/YearlyDataDownload.aspx.
References:
van Donkelaar, A., R. V. Martin, et al. (2019). Regional Estimates of Chemical Composition of Fine Particulate Matter using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors. Environmental Science & Technology, in press, doi:10.1021/acs.est.8b06392. [Link]
van Donkelaar, A., R. V. Martin, et al. (2015) Global fine particulate matter concentrations from satellite for long-term exposure assessment, Environmental Health Perspectives, 123, 135-143, DOI:10.1289/ehp.1408646, 2015. [Link]
Scientific Datasets:
Global resolved datasets are provided in ArcGIS-compatible NetCDF [.nc] or zipped ASCII [.asc.zip] file. Note that the unzipped ASCII files can be cumbersome. Gridded files use the WGS84 projection. Please contact our Support Team (support@satpm.org) for further information.
Note that these estimates are primarily intended to aid in large-scale studies. Gridded datasets are provided to allow users to agglomerate data as best meets their particular needs. Datasets are gridded at the finest resolution of the information sources that were incorporated (0.01° × 0.01°), but do not fully resolve PM₂.₅ gradients at the gridded resolution due to influence by information sources at coarser resolution.
Annual mean PM₂.₅ [µg/m3]: [.nc] [.asc.zip]
A summary of annual population- and geographically-weighted provincial estimates are available here:
[ChinaPM25-V4CH02-PROVINCIAL-2000-2017.csv]
SatPM₂.₅ data V4.CH.02 are licensed under CC BY 4.0