Climate Change Projections of Temperature Over the Coastal Area of China Using SimCLIM
文献类型：期刊论文
| 作者 | Wang, Xiaoli1,2,3 ; Hou, Xiyong1,2,3; Piao, Yingchao4; Feng, Aiqing5,6; Li, Yinpeng7
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| 刊名 | FRONTIERS IN ENVIRONMENTAL SCIENCE
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| 出版日期 | 2021-12-06 |
| 卷号 | 9页码:17 |
| 关键词 | temperature projection CMIP5 GCMs RCPs coastal area of China SimCLIM |
| DOI | 10.3389/fenvs.2021.782259 |
| 通讯作者 | Hou, Xiyong(xyhou@yic.ac.cn) |
| 英文摘要 | Facing the western Pacific Ocean and backed by the Eurasian continent, the coastal area of China (hereafter as CAC) is sensitive and vulnerable to climate change due to the compound effects of land-ocean-atmosphere, and thus is prone to suffer huge climate-related disaster losses because of its large population density and fast developed economy in the context of global warming. Here in this study the near- (2040), mid- (2070), and long-future (2100) mean, minimum, and maximum temperature (Tmean, Tmin, and Tmax) projections based on the statistic downscaling climate prediction model (SimCLIM) integrated with 44 General Circulation Models (GCMs) of CMIP5 under three representative concentration pathway (RCP4.5, RCP6.0, and RCP8.5) scenarios are evaluated over CAC and its sub-regions. Multi-model ensemble of the selected GCMs demonstrated that there was a dominating and consistent warming trend of Tmean, Tmin, and Tmax in the Chinese coastal area in the future. Under RCP4.5, RCP6.0, and RCP8.5 scenarios, the annual temperature increase was respectively projected to be in the range of 0.8-1.2 degrees C for 2040, 1.5-2.7 degrees C for 2070, and 1.6-4.4 degrees C for 2100 over the entire CAC. Moreover, a spatial differentiation of temperature changes both on the sub-regional and meteorological station scales was also revealed, generally showing an increment with "high south and low north" for annual average Tmean but "high north and low south" for Tmin and Tmax. An obvious lower increase of Tmean in the hotter months like July and August in the south and a significant sharper increment of Tmin and Tmax in the colder months such as January, February, and December in the north were expected in the future. Results derived from this study are anticipated to provide insights into future temperature changes and also assist in the development of target climate change mitigation and adaptation measures in the coastal area of China. |
| WOS关键词 | SEA-LEVEL RISE ; FUTURE PROJECTIONS ; SURFACE-TEMPERATURE ; CMIP5 MODELS ; PRECIPITATION ; IMPACTS ; EXTREMES ; EVENTS ; TRENDS ; BASIN |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000732015200001 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/31528]  |
| 专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
| 通讯作者 | Hou, Xiyong |
| 作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Processes & Ecol Remedia, Yantai, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China 4.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China 5.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China 6.China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing, Peoples R China 7.Int Global Change Inst, Hamilton, New Zealand |
| 推荐引用方式 GB/T 7714 | Wang, Xiaoli,Hou, Xiyong,Piao, Yingchao,et al. Climate Change Projections of Temperature Over the Coastal Area of China Using SimCLIM[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2021,9:17. |
| APA | Wang, Xiaoli,Hou, Xiyong,Piao, Yingchao,Feng, Aiqing,&Li, Yinpeng.(2021).Climate Change Projections of Temperature Over the Coastal Area of China Using SimCLIM.FRONTIERS IN ENVIRONMENTAL SCIENCE,9,17. |
| MLA | Wang, Xiaoli,et al."Climate Change Projections of Temperature Over the Coastal Area of China Using SimCLIM".FRONTIERS IN ENVIRONMENTAL SCIENCE 9(2021):17. |
入库方式： OAI收割
来源：烟台海岸带研究所
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