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Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios

文献类型：期刊论文

作者Cheng, Wei3,4; Dan, Li5; Deng, Xiangzheng3,4,6; Feng, Jinming5; Wang, Yongli5; Peng, Jing5; Tian, Jing3; Qi, Wei7; Liu, Zhu8; Zheng, Xinqi1,9
刊名SCIENTIFIC DATA
出版日期2022-03-11
卷号9期号:1页码:13
DOI10.1038/s41597-022-01196-7
通讯作者Dan, Li(danli@tea.ac.cn) ; Deng, Xiangzheng(dengxz@igsnrr.ac.cn) ; Wang, Yongli(wangyl@tea.ac.cn) ; Tian, Jing(tianj.04b@igsnrr.ac.cn)
英文摘要Increases in atmospheric carbon dioxide (CO2) concentrations is the main driver of global warming due to fossil fuel combustion. Satellite observations provide continuous global CO2 retrieval products, that reveal the nonuniform distributions of atmospheric CO2 concentrations. However, climate simulation studies are almost based on a globally uniform mean or latitudinally resolved CO2 concentrations assumption. In this study, we reconstructed the historical global monthly distributions of atmospheric CO2 concentrations with 1 degrees resolution from 1850 to 2013 which are based on the historical monthly and latitudinally resolved CO2 concentrations accounting longitudinal features retrieved from fossil-fuel CO2 emissions from Carbon Dioxide Information Analysis Center. And the spatial distributions of nonuniform CO2 under Shared Socio-economic Pathways and Representative Concentration Pathways scenarios were generated based on the spatial, seasonal and interannual scales of the current CO2 concentrations from 2015 to 2150. Including the heterogenous CO2 distributions could enhance the realism of global climate modeling, to better anticipate the potential socio-economic implications, adaptation practices, and mitigation of climate change.
WOS关键词GREENHOUSE-GAS CONCENTRATIONS ; CO2 ; RETRIEVALS ; EXTENSIONS ; EMISSIONS ; SATELLITE
资助项目National Key Research and Development Program of China[2016YFA0602500] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA23070400] ; state key program of National Natural Science Foundation of China[91425303] ; state key program of National Natural Science Foundation of China[71533004]
WOS研究方向Science & Technology - Other Topics
语种英语
出版者NATURE PORTFOLIO
WOS记录号WOS:000767813100011
资助机构National Key Research and Development Program of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; state key program of National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/172220]  
专题中国科学院地理科学与资源研究所
通讯作者Dan, Li; Deng, Xiangzheng; Wang, Yongli; Tian, Jing
作者单位1.MNR China, Technol Innovat Ctr Terr Spatial Big Data, Beijing 100036, Peoples R China
2.Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat Minist, Beijing 100048, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temp East Asia, Beijing 100029, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
7.Chinese Acad Meteorol Sci, Inst Tibetan Plateau & Polar Meteorol, Beijing 100081, Peoples R China
8.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
9.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
10.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714		 Cheng, Wei,Dan, Li,Deng, Xiangzheng,et al. Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios[J]. SCIENTIFIC DATA,2022,9(1):13.
APA Cheng, Wei.,Dan, Li.,Deng, Xiangzheng.,Feng, Jinming.,Wang, Yongli.,...&Wang, Xiaoyu.(2022).Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios.SCIENTIFIC DATA,9(1),13.
MLA Cheng, Wei,et al."Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios".SCIENTIFIC DATA 9.1(2022):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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