Overestimated climate warming and climate variability due to spatially homogeneous CO2 in climate modeling over the Northern Hemisphere since the mid-19th century
文献类型：期刊论文
| 作者 | Zhang, Xuezhen1,3 ; Li, Xiaxiang1,3; Chen, Deliang2; Cui, Huijuan1; Ge, Quansheng1
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| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2019-11-22 |
| 卷号 | 9页码:9 |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-019-53513-7 |
| 通讯作者 | Ge, Quansheng(geqs@igsnrr.ac.cn) |
| 英文摘要 | Since the mid-19th century, the global atmospheric CO2 concentration (ACC) has increased dramatically due to the burning of fossil fuels. Because of unequal population growth and economic development among regions, the ACC increases possess strong spatial variability. Particularly, the increase in ACC has been larger in the mid-latitudes of the Northern Hemisphere (NH) than that at high- and low-latitudes. It is widely accepted that the ACC increase is the main reason for climate change, but the potential impacts of its spatial distribution on the climate system remain unclear. Therefore, we carried out two groups of 150-year experiments with the Community Earth System Model (CESM), using both spatially inhomogeneous (hereafter the SIC experiment) and homogenous (hereafter the SHC experiment) ACC increases in their settings. We found that the models' divergences occurred over the NH mid-latitudes, the Arctic and the western part of the tropical Pacific. SHC overestimated (underestimated) climate warming over the Artic (mid-latitudes), which may be induced by the intensified westerly and weakened meridional heat exchange between mid- and high latitudes in the NH. Over the tropical Pacific, the overestimation of climate warming may be induced by intensified Walker circulation coupled with the La Nina climate mode. For the entire NH, relative to SIC, SHC overestimated the climate warming from 1850 to 1999 by similar to 10%. Meanwhile, the SHC experiment also overestimated the interannual variabilities in temperature and precipitation, resulting in more serious extreme events. These findings suggest that human contributions to climate warming and increased extreme events since the industrial revolution may be overestimated when using a spatially homogenous ACC |
| WOS关键词 | FLUXES |
| 资助项目 | National Key Research and Development Program of China[2016YFA0602700] ; National Key Research and Development Program of China[2017YFA0605303] ; National Natural Science Foundation of China[41790424] ; National Natural Science Foundation of China[41430528] ; Key Research Program of Frontier Sciences from CAS[QYZDB-SSW-DQC005] ; Youth Innovation Promotion Association CAS[2015038] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000498057700001 |
| 出版者 | NATURE PUBLISHING GROUP |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences from CAS ; Youth Innovation Promotion Association CAS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/130446]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ge, Quansheng |
| 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.Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, S-40530 Gothenburg, Sweden 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xuezhen,Li, Xiaxiang,Chen, Deliang,et al. Overestimated climate warming and climate variability due to spatially homogeneous CO2 in climate modeling over the Northern Hemisphere since the mid-19th century[J]. SCIENTIFIC REPORTS,2019,9:9. |
| APA | Zhang, Xuezhen,Li, Xiaxiang,Chen, Deliang,Cui, Huijuan,&Ge, Quansheng.(2019).Overestimated climate warming and climate variability due to spatially homogeneous CO2 in climate modeling over the Northern Hemisphere since the mid-19th century.SCIENTIFIC REPORTS,9,9. |
| MLA | Zhang, Xuezhen,et al."Overestimated climate warming and climate variability due to spatially homogeneous CO2 in climate modeling over the Northern Hemisphere since the mid-19th century".SCIENTIFIC REPORTS 9(2019):9. |
入库方式： OAI收割
来源：地理科学与资源研究所
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