%0 Dataset
%T Near-real-time global gridded daily CO2 emissions
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/17f55697-5514-498d-b112-4eb9dc077c45
%W NCDC
%R 10.6084/m9.figshare.12200390.v2
%A Zhu Liu 
%K Carbon dioxide;emissions;environmental impact assessment
%X Accurate high-resolution carbon dioxide (CO2) emission data is of great significance for achieving global carbon neutrality. Here, we propose for the first time a near real-time global gridded daily carbon dioxide emissions dataset (GRACED) for fossil fuel and cement production, with a global spatial resolution of 0.1 ° x 0.1 ° and a temporal resolution of 1 day. Grid based fossil emissions are calculated for different industries based on the national daily carbon dioxide emissions from near real time datasets (carbon monitoring), spatial models from the Global Energy Infrastructure Emissions Database (GID) and the Global Atmospheric Research Emissions Database (EDGAR), and spatiotemporal models retrieved from satellite nitrogen dioxide (NO2) searches. Our research on global carbon dioxide emissions responds to the growing urgent need for high-quality, fine-grained, near real-time estimates of carbon dioxide emissions to support global emission monitoring at different spatial scales. We presented the spatial patterns of emission changes in the electricity, industrial, residential consumption, ground transportation, domestic and international aviation, and international shipping sectors from January 1, 2019 to December 31, 2020. This helps to gain a deeper understanding of the relative contributions of each department.