2023
DOI: 10.1038/s41597-023-01963-0
|View full text |Cite
|
Sign up to set email alerts
|

Near-real-time global gridded daily CO2 emissions 2021

Abstract: We present a near-real-time global gridded daily CO2 emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO2 emissions at a 0.1° × 0.1° 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 the near-real-time daily national CO2 emissions estimates (Carbon Monitor)… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
10

Relationship

2
8

Authors

Journals

citations
Cited by 18 publications
(5 citation statements)
references
References 24 publications
0
5
0
Order By: Relevance
“…Although population is one of the proxies, it is only used in several sectors with less emissions, such as non‐energy use of fuel and wastewater treatment, while spatialization proxies of major emission sectors (power generation, industry, transportation, etc.) are point sources and traffic network data (Dou et al., 2023). It can be seen that the population distribution has little influence on the spatialization of CO 2ff emissions.…”
Section: Methodsmentioning
confidence: 99%
“…Although population is one of the proxies, it is only used in several sectors with less emissions, such as non‐energy use of fuel and wastewater treatment, while spatialization proxies of major emission sectors (power generation, industry, transportation, etc.) are point sources and traffic network data (Dou et al., 2023). It can be seen that the population distribution has little influence on the spatialization of CO 2ff emissions.…”
Section: Methodsmentioning
confidence: 99%
“…The compilation of China's emission inventories is becoming increasingly perfected, and some organizations have already compiled more comprehensive city-level accounts of China's carbon emissions through extensive data collection, such as Carbon Emission Accounts and Datasets (CEADs), which compiled an emissions inventory of 297 cities for the period 1997-2020 10,12,13 , and the China City Greenhouse Gas Working Group (CCG, http://www.cityghg.com/toCauses?id=4), which compiled an emission inventory of 340 cities across China 14,15 . Others have accounted for city energy consumption and carbon emissions using spatial high resolution 16 , night-time lighting simulations 17,18 , input-output analysis 19 and so on.…”
Section: Background and Summarymentioning
confidence: 99%
“…The same condition applies to the EG, which is one of the main drivers of global CO 2 emissions, as representing energy consumption 12 . In the current literature, a few studies have considered this near-real-time data as high-frequency (daily) data in predicting CO 2 emissions at the country or global level 11 , 13 , 14 . There are some studies, that use daily data, but many of them have used relatively old data, which do not consider the recent issues (e.g., post-pandemic periods, higher geopolitical tensions, and the current energy crisis).…”
Section: Introductionmentioning
confidence: 99%