Full-coverage atmospheric CO2 reconstruction data in China from 2010 to 2019

<p>This monthly atmospheric CO2 dataset was reconstructed from GOSAT XCO2 retrievals using a spatiotemporal kriging method. We employed this dataset to investiage the spatiotemporal variation in atmospheric CO2 and its influencing factors. Please the publication as below:</p><p>--Chen, X., He, Q., Ye, T., Liang, Y., &amp; Li, Y. (2023). Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis. <i>Science of The Total Environment</i>, 167917.</p><p>&nbsp;</p><p>We also share other atmopsheric reconstruction datasets:</p><p>For full-coverage, 1-km, AOD data in China, please go to&nbsp;<a href="https://dataverse.harvard.edu/dataverse/atmospheric_data_by_WHUT">harvard dataverse</a>. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.</p><p>For full-coverage, 1-km, CO2 data in China, please go to <a href="https://zenodo.org/doi/10.5281/zenodo.10022904">10.5281/zenodo.10022904. </a>This dataset was reconstructed based on OCO-2 XCO2 retrievals and machine learning algorithm.</p><p>For full-covereage, 1-km, PM2.5 data in China, please go to <a href="https://zenodo.org/doi/10.5281/zenodo.8437234">10.5281/zenodo.8437234 or </a><a href="https://zenodo.org/record/8347128">10.5281/zenodo.8347128.</a></p>