Full-coverage high-resolution (Daily, 1-km) PM2.5 dataset for China (2000-2020)

We have estimated full-coverage, daily 1-km PM2.5 data from 2000 to 2020 in China using a random forest-based hindcast modeling method which incorporates historical information into modeling. Multiple sources were used as inputs, including MAIAC AOD, meteorological data from CMA, reanalysis data from ERA-5, and other land-related data. The annual average data during 2000-2020 are released here and free for non-commercial use. This manuscript is under review. If you want use our dataset, please cite the following article at this moment. If you want more data (e.g.daily/monthly data) or further collaborate with us, please contact us via [e-mail]. If you have any question regarding the dataset, feel free to contact me via [e-mail]. -He, Qingqing, et al. “Satellite-Derived 1-Km Estimates and Long-Term Trends of PM2.5 Concentrations in China from 2000 to 2018.” Environment International, vol. 156, Nov. 2021, p. 106726, doi:10.1016/j.envint.2021.106726. <em>Please note that "0" in TIFF files should be regarded as invalid value!!!</em> If you want to use other datasets, please go to version_3km (10.5281/zenodo.4569557)本研究采用融合历史信息的随机森林后向模拟建模方法，完成了2000年至2020年中国全域逐日1千米分辨率PM2.5浓度数据的估算。 本研究采用多源数据作为模型输入，包括MAIAC气溶胶光学厚度（MAIAC AOD）、中国气象局（China Meteorological Administration，CMA）气象数据、ERA-5再分析数据以及其他土地相关数据集。 本次发布的为2000年至2020年的年均PM2.5浓度数据，可免费用于非商业用途。 本稿件目前处于审稿阶段。 若您需使用本数据集，请暂时引用下述文献。 若您需要获取更多数据（如逐日/逐月数据）或开展进一步合作，请通过邮箱[e-mail]与我们联系。 若您对本数据集有任何疑问，也可通过该邮箱与我们联系。——何青青等。 2000-2018年中国PM2.5浓度的卫星反演1千米估算结果与长期变化趋势[J]. Environment International, 2021, 156: 106726. DOI:10.1016/j.envint.2021.106726. 【重要提示】TIFF文件中的数值0应视为无效值！！！ 若您需要使用其他分辨率的数据集，请前往3千米版本数据集（DOI:10.5281/zenodo.4569557）获取。