Satellite-based estimates of decline and rebound in China's CO$_2$ emissions during COVID-19 pandemic
Bo Zheng, Guannan Geng, Philippe Ciais, Steven J. Davis, Randall V., Martin, Jun Meng, Nana Wu, Frederic Chevallier, Gregoire Broquet, Folkert, Boersma, Ronald van der A, Jintai Lin, Dabo Guan, Yu Lei, Kebin He, Qiang, Zhang

TL;DR
This study uses satellite data to track daily CO₂ emission changes in China during COVID-19, revealing an initial decline followed by a rebound as economic activity recovered.
Contribution
It introduces a satellite-based method to estimate sector- and region-specific CO₂ emissions, providing independent and spatially detailed insights beyond activity indicators.
Findings
China's CO₂ emissions dropped 11.5% from Jan-Apr 2020 compared to 2019
Emissions rebounded to pre-pandemic levels with economic recovery
Satellite observations enable detailed, independent emission tracking
Abstract
Changes in CO emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO emissions during the pandemic. Unlike activity data, our observation-based analysis can be independently evaluated and can provide more detailed insights into spatially-explicit changes. Specifically, we use TROPOMI observations of NO to deduce ten-day moving averages of NO and CO emissions over China, differentiating emissions by sector and province. Between January and April 2020, China's CO emissions fell by 11.5% compared to the same period in 2019, but emissions have since rebounded to pre-pandemic levels owing to the fast economic recovery in provinces where industrial activity is concentrated.
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Taxonomy
TopicsCOVID-19 impact on air quality · Impact of Light on Environment and Health · Air Quality and Health Impacts
