| 3 | Near-real-time global gridded daily CO_(2) emissions显示文摘Precise and high-resolution carbon dioxide(CO_(2))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 CO_(2)Emissions Dataset(GRACED)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 CO_(2)emissions from near-real-time dataset(Carbon Monitor),the spatial patterns of point source emission dataset Global Energy Infrastructure Emissions Database(GID),Emission Database for Global Atmospheric Research(EDGAR),and spatiotemporal patters of satellite nitrogen dioxide(NO2)retrievals.Our study on the global CO_(2)emissions responds to the growing and urgent need for high-quality,fine-grained,near-real-time CO_(2)emissions estimates to support global emissions monitoring across various spatial scales.Weshow the spatial patterns of emission changes for power,industry,residential consumption,ground transportation,domestic and international aviation,and international shipping sectors from January 1,2019,to December 31,2020.This gives thorough insights into the relative contributions from each sector.Furthermore,it provides the most up-to-date and fine-grained overview of where and when fossil CO_(2)emissions have decreased and rebounded in response to emergencies(e.g.,coronavirus disease 2019[COVID-19])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. | Xinyu Dou Yilong Wang Philippe Ciais Frédéric Chevallier Steven J.Davis Monica Crippa Greet Janssens-Maenhout Diego Guizzardi Efisio Solazzo Feifan Yan Da Huo Bo Zheng Biqing Zhu Duo Cui Piyu Ke Taochun Sun Hengqi Wang Qiang Zhang Pierre Gentine Zhu Deng Zhu Liu | 2022 | The Innovation2022，3，1： | 0 |
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