Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-6725-2025
https://doi.org/10.5194/acp-25-6725-2025
Research article
 | 
03 Jul 2025
Research article |  | 03 Jul 2025

Estimation of diurnal emissions of CO2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar

Xuanye Zhang, Hailong Yang, Lingbing Bu, Zengchang Fan, Wei Xiao, Binglong Chen, Lu Zhang, Sihan Liu, Zhongting Wang, Jiqiao Liu, Weibiao Chen, and Xuhui Lee

Data sets

ERA5 hourly data on pressure levels from 1940 to present Hans Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

MERRA-2 tavg3_3d_asm_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/SUOQESM06LPK

Global coal power Carbon Brief https://www.carbonbrief.org/mapped-worlds-coal-power-plants/

Greenhouse Gas Emissions Data - Climate TRACE Climate TRACE https://coilink.org/20.500.12592/qjq2f9h

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Short summary
This study utilized the IPDA (integrated path differential absorption) lidar on board the DQ-1 satellite to monitor emissions from localized strong point sources and, for the first time, observed the diurnal variation in CO2 emissions from a high-latitude power plant. Overall, power plant CO2 emissions were largely consistent with local electricity consumption patterns, with most plants emitting less at night than during the day and with higher emissions in winter compared to spring and autumn.
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