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arxiv: 2006.08196 · v1 · pith:NSAWTEQ7new · submitted 2020-06-15 · ⚛️ physics.ao-ph · physics.soc-ph

Satellite-based estimates of decline and rebound in China's CO₂ emissions during COVID-19 pandemic

classification ⚛️ physics.ao-ph physics.soc-ph
keywords emissionschinaduringpandemicactivitychangescovid-19observations
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Changes in CO$_2$ 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$_2$ 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$_2$ to deduce ten-day moving averages of NO$_x$ and CO$_2$ emissions over China, differentiating emissions by sector and province. Between January and April 2020, China's CO$_2$ 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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