Near-real-time global gridded daily CO2 emissions 2021
文献类型：期刊论文
| 作者 | Dou, Xinyu; Hong, Jinpyo11; Ciais, Philippe10; Chevallier, Frederic10; Yan, Feifan8,9; Yu, Ying7; Hu, Yifan6; Huo, Da; Sun, Yun5; Wang, Yilong4 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2023-02-02 |
| 卷号 | 10期号:1页码:69 |
| DOI | 10.1038/s41597-023-01963-0 |
| 文献子类 | Article ; Data Paper |
| 英文摘要 | We present a near-real-time global gridded daily CO2 emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO2 emissions at a 0.1 degrees x 0.1 degrees 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), multi-source spatial activity data emissions and satellite NO2 data for time variations of those spatial activity data. GRACED provides the most timely overview of emissions distribution changes, which enables more accurate and timely identification of when and where fossil CO2 emissions have rebounded and decreased. Uncertainty analysis of GRACED gives a grid-level two-sigma uncertainty of value of +/- 19.9% in 2021, indicating the reliability of GRACED was not sacrificed for the sake of higher spatiotemporal resolution that GRACED provides. Continuing to update GRACED in a timely manner could help policymakers monitor energy and climate policies' effectiveness and make adjustments quickly. |
| WOS关键词 | NO2 ; UNCERTAINTIES ; INVENTORY |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS记录号 | WOS:000925877700004 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200758]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.European Commiss, Joint Res Ctr JRC, Ispra, Italy 3.Davis, Steven. J. J.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA 4.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China 5.Northeast Forestry Univ, Key Lab Sustainable Forest Ecosyst Management, Harbin 150040, Peoples R China 6.Univ North Carolina Chapel Hill, Environm Sci & Engn, Chapel Hill, NC USA 7.Ocean Univ China, Minist Educ, frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao 266100, Peoples R China 8.Ocean Univ China, Key Lab Marine Environm & ecol, Qingdao 266100, Peoples R China 9.Univ Paris Saclay, UVSQ, CNRS, IPSL,LSCE,Lab Sci Climat & Environm, Gif Sur Yvette, France 10.Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dou, Xinyu,Hong, Jinpyo,Ciais, Philippe,et al. Near-real-time global gridded daily CO2 emissions 2021[J]. SCIENTIFIC DATA,2023,10(1):69. |
| APA | Dou, Xinyu.,Hong, Jinpyo.,Ciais, Philippe.,Chevallier, Frederic.,Yan, Feifan.,...&Liu, Zhu.(2023).Near-real-time global gridded daily CO2 emissions 2021.SCIENTIFIC DATA,10(1),69. |
| MLA | Dou, Xinyu,et al."Near-real-time global gridded daily CO2 emissions 2021".SCIENTIFIC DATA 10.1(2023):69. |
入库方式： OAI收割
来源：地理科学与资源研究所
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