Jing Wei
Zhanqing Li
2019-11-12
<p>ChinaHighPM<sub>2.5</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from MODIS/Terra+Aqua MAIAC AOD products together with other auxiliary data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. </p>
<p>This is the MODIS/Terra+Aqua Level 3 (L3) yearly 0.01 degree (≈ 1 km) gridded ground-level PM<sub>2.5</sub> products in Eastern China (ECHAP_PM2.5_Y1K) from 2000 to 2020, which are averaged from the Level 2 daily products. Note that the data for the year 2000 is averaged from March 2000 to December 2000. The annual PM<sub>2.5</sub> estimates are highly related to ground-based measurements (R<sup>2</sup> = 0.94) with an average root-mean-square error (RMSE) of 5.07 µg m<sup>-3</sup>.</p>
<p><strong>Note that this dataset is closed since a new version is published at </strong><a href="https://doi.org/10.5281/zenodo.3539349">10.5281/zenodo.3539349</a>.</p>
CHAP website: https://weijing-rs.github.io/product.html
https://doi.org/10.5281/zenodo.4660858
oai:zenodo.org:4660858
eng
Zenodo
https://doi.org/10.1016/j.rse.2020.112136
https://zenodo.org/communities/chap
https://doi.org/10.5281/zenodo.3539349
info:eu-repo/semantics/restrictedAccess
PM2.5
1 km resolution
Remote Sensing
Artificial intelligence
ChinaHighPM2.5 (Version 3)
info:eu-repo/semantics/other