Global 0.1° gridded anthropogenic CO2 emissions based on data-driven method 2021-2022

This dataset is the global 0.1° anthropogenic CO2 emissions for 2021-2022. The emissions were estimated by a data-driven model based on EDGAR inventories and the CO2 and NOx co-emissions framework. The 0.1° gridded emissions are provided in TIFF format (preACO2_RFR_01deg_yyyy). The national emissions are calculated from gridded data and provided in xlsx format (National_CO2_emissions_yyyy). We also provided the CO2/NOx emission ratio we used in estimating (pre_CO2NOxRatio_LSTM_IDW_01deg_yyyy), which is predicted by the LSTM neural network. The corresponding paper of this dataset is being prepared.本数据集收录2021至2022年全球0.1°分辨率的人为二氧化碳（CO2）排放数据。该排放数据由基于EDGAR排放清单以及二氧化碳（CO2）与氮氧化物（NOx）协同排放框架的数据驱动模型估算得到。其中，0.1°分辨率网格化排放数据以TIFF格式提供，文件命名格式为preACO2_RFR_01deg_yyyy；国家级排放数据由网格化数据汇总计算得到，以XLSX格式提供，文件命名格式为National_CO2_emissions_yyyy。本数据集还附带了估算过程中使用的CO2/NOx排放比值数据，该比值由长短期记忆网络（Long Short-Term Memory，LSTM）神经网络预测得到，对应文件命名格式为pre_CO2NOxRatio_LSTM_IDW_01deg_yyyy。本数据集的相关研究论文正在筹备中。