%0 Dataset
%T A Six-year long High-resolution Air Quality Reanalysis Dataset over China-monthly and annual version（2013-2018）
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/9e82406a-ad95-437b-8607-928540c7959a
%W NCDC
%R 10.11922/sciencedb.00092
%A None
%A None
%K Air quality data;PM2.5;SO2;NO2;CO
%X This study utilized Ensemble Kalman Filter (EnKF) and Nested Air Quality Prediction Simulation System (NAQPMS) to assimilate over 1000 surface air quality monitoring points from China National Environmental Monitoring Center (CNEMC), and established a high-resolution China Air Quality Reanalysis Dataset (CAQRA) for six years. Provided high spatial resolution (15 kilometers) of six conventional air pollutants (i.e. PM2.5, PM10, SO2, NO2, CO and O3) in China from 2013 to 2018 × A surface field with a resolution of 15 kilometers and high temporal resolution. This dataset will be the first high-resolution air quality reanalysis dataset in China that can simultaneously provide surface concentrations of six conventional air pollutants. It is of great value for multiple studies such as air pollution health impact assessment, research on changes in air quality in China, and providing training data for statistical or artificial intelligence (AI) based forecasting.