Abstract

Tracking China's national and regional CO2 emission trends is becoming ever more crucial. The country recently pledged to achieve ambitious emissions reduction targets, however, high-resolution datasets for provincial level CO2 emissions in China are still lacking. This study provides daily CO2 emission datasets for China's 31 provinces, including for the first time, the province of Tibet. The inventory covers the emissions from three industrial sectors (power, industry and ground transport) during 2019 to 2020, with its temporal resolution at a daily level. In addition, the variations in CO2 emissions for seasonal, weekly and holiday periods have been uncovered at a provincial level for the first time. This new data was added to further analyze the impact that weekends and holidays have on China's CO2 emissions. Over weekend periods, carbon emissions are shown to reduce by around 3%. Spring Festival meanwhile, has the greatest impact on the reduction of China's CO2 emissions. This detailed and time-related inventory will facilitate a more local and adaptive management of China’s CO2 emissions during both the COVID-19 pandemic’s recovery and the ongoing energy transition. The data are archived at https://doi.org/10.5281/zenodo.4730175 (Cui et al., 2021).

Highlights

  • IntroductionChina has the largest CO2 emission worldwide, accounting for about 28% of global CO2 40 emissions in 2019 (Friedlingstein et al, 2020)

  • Having timely and accurate CO2 emission estimates based on fossil fuel combustion and cement production is fundamental prerequisite to designing evidenced-based 52 policies for reducing China’s CO2 emissions

  • When studying the power sector, the provincial emission contributions shown in the CEADs 424 dataset and those in this study show similar values

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Summary

Introduction

China has the largest CO2 emission worldwide, accounting for about 28% of global CO2 40 emissions in 2019 (Friedlingstein et al, 2020). China's energy consumption and CO2 emissions have been relatively stable since 2013 (Friedlingstein et al, 2019; Liu et al, 2015; Guan et al, 2018). Since 2018, China’s energy consumption and CO2 emissions have shown a 44 new upward trend. The annual growth rates of China’s Carbon emissions have exceeded 2% between 2018 and 2019 (Friedlingstein et al, 2019; Friedlingstein et al, 2020). The growth rate of global carbon emissions is only 0.1%. The estimates of China's CO2 48 emissions carry significant uncertainties, and the differences in estimates of China’s carbon emissions between inventories from EDGAR, CDIAC, and CEADs approach 15% (Liu et al, 2015). Having timely and accurate CO2 emission estimates based on fossil fuel combustion and cement production is fundamental prerequisite to designing evidenced-based 52 policies for reducing China’s CO2 emissions

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