Near-real-time global gridded daily CO$_2$ emissions 2021
Xinyu Dou, Jinpyo Hong, Philippe Ciais, Fr\'ed\'eric Chevallier,, Feifan Yan, Ying Yu, Yifan Hu, Da Huo, Yun Sun, Yilong Wang, Steven J. Davis,, Monica Crippa, Greet Janssens-Maenhout, Diego Guizzardi, Efisio Solazzo,, Xiaojuan Lin, Xuanren Song, Biqing Zhu, Duo Cui, Piyu Ke

TL;DR
This paper introduces GRACED, a high-resolution, near-real-time global dataset of daily CO₂ emissions for 2021, integrating multiple data sources to enable timely monitoring of emission changes at a fine spatial and temporal scale.
Contribution
The paper presents a novel near-real-time global gridded daily CO₂ emissions dataset (GRACED) with high spatial and temporal resolution, combining diverse data sources for improved emission monitoring.
Findings
GRACED provides daily, 0.1-degree resolution global CO₂ emissions data for 2021.
Uncertainty analysis shows a grid-level two-sigma uncertainty of 19.9%.
GRACED enables timely detection of emission fluctuations and policy impacts.
Abstract
We present a near-real-time global gridded daily CO emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO emissions at a 0.1degree*0.1degree spatial resolution and 1-day temporal resolution from cement production and fossil fuel combustion over seven sectors, including industry, power, residential consumption, ground transportation, international aviation, domestic aviation, and international shipping. GRACED is prepared from a near-real-time daily national CO emissions estimates (Carbon Monitor), multi-source spatial activity data emissions and satellite NO data for time variations of those spatial activity data. GRACED provides the most timely overview of emissions distribution changes, which enables more accurate and timely identification of when and where fossil CO emissions have rebounded and decreased. Uncertainty analysis of GRACED gives a…
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Taxonomy
TopicsAtmospheric and Environmental Gas Dynamics · Vehicle emissions and performance · Air Quality Monitoring and Forecasting
