%0 Dataset
%T MuAP Spatial distribution of various air pollutants in China at 1 km(PM2.5 2015-01-01:2020-12-31) (Version1.1)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/bcf43d1e-6f95-416d-9228-70cd67680386
%W NCDC
%R 10.5281/zenodo.8093749
%A Ye Hong
%K PM2.5;LightGBM model;air pollution;convolution
%X This dataset optimizes the LightGBM model by combining spatial sampling and parameter convolution, utilizing ground observation data, remote sensing products, meteorological data, auxiliary data, and random IDs. Based on the above technology and simulation of air pollutants, generate daily PM2.5 products with a resolution of 1 kilometer in most parts of China from 2015 to 2020.