Near-real-time global gridded daily CO2 emissions

Precise and high-resolution CO2 emission data is of great importance in achieving carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO2 Emissions Dataset from fossil fuel and cement production with a global spatial resolution of 0.1° by 0.1° and a temporal resolution of 1 day. Gridded fossil emissions are computed for different sectors based on the daily national CO2 emissions from near-real-time dataset (Carbon Monitor), the spatial patterns of point source emission dataset Global Carbon Grid Global Energy Infrastructure Emissions Database, Emission Database for Global Atmospheric Research, and spatiotemporal patters of satellite nitrogen dioxide retrievals. Our study on the global CO2 emissions responds to the growing and urgent need for high-quality, fine-grained, near-real-time CO2 emissions estimates to support global emissions monitoring across various spatial scales. We show the spatial patterns of emission changes by sector for the year 2020. Furthermore, it provides the most up-to-date and fine-grained overview of where and when fossil CO2 emissions have decreased and rebounded in response to emergencies and other disturbances of human activities of any previously published dataset. As the world recovers from the pandemic and decarbonizes its energy systems, regular updates of this dataset will enable policymakers to more closely monitor the effectiveness of climate and energy policies and quickly adapt.

DOU Xinyu;  WANG Yilong;  CIAIS P.;  CHEVALLIER F.;  DAVIS Steven J.;  CRIPPA Monica;  JANSSENS-MAENHOUT Greet;  GUIZZARDI Diego;  SOLAZZO Efisio;  YAN Feifan;  HUO Da;  BO Zheng;  ZHU Biqing;  CUI Duo;  KE Piyu;  SUN Taochun;  WANG Hengqi;  ZHANG Qiang;  GENTINE Pierre;  DENG Zhu;  LIU Zhu; 

2022-07-13

Cell Press

JRC127092

2666-6758 (online),   

https://www.sciencedirect.com/science/article/pii/S2666675821001077?via%3Dihub,    https://publications.jrc.ec.europa.eu/repository/handle/JRC127092,   

10.1016/j.xinn.2021.100182 (online),