Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s00382-020-05170-0 |
Dynamical downscaling simulation and projection for mean and extreme temperature and precipitation over central Asia | |
Zhu, Xian1,2; Wei, Zhigang3; Dong, Wenjie1,2; Ji, Zhenming1,2; Wen, Xiaohang4; Zheng, Zhiyuan1,2; Yan, Dongdong3; Chen, Deliang5 | |
通讯作者 | Dong, Wenjie ; Ji, Zhenming |
来源期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2020 |
卷号 | 54期号:7-8页码:3279-3306 |
英文摘要 | As a typical arid and semi-arid area, central Asia (CA) has scarce water resources and fragile ecosystems that are particularly sensitive and vulnerable to climate change. In this study, dynamic downscaling was conducted to produce a regional dataset that incorporated the time period 1986-2100 for the CA. The results show that dynamic downscaling significantly improves the simulation for the mean and extreme climate over the CA, compared to the driving CCSM4 model. We show that significant warming will occur over CA with 2.0 degrees C and 5.0 degrees C increasing under the RCP4.5 and RCP8.5 scenarios, respectively by the end of twenty-first century. The daily maximum temperature, the daily minimum temperature and the annual total number of days with a minimum temperature greater than 25 degrees C will also increase significantly. The annual total number of days with a minimum temperature less than 0 degrees C will decrease significantly. Long-term trends in the projected winter precipitation under different emission scenarios exhibit robust and increasing changes during the twenty-first century, especially under the RCP8.5 scenario with an increasing about 0.1 mm/day. Significant differences are shown in the projection of precipitation-related indices over CA under different emission scenarios, and the impact of emissions is apparent for the number of days with >= 10 mm of precipitation, the density of precipitation on days with >= 1 mm of precipitation, and particularly for the maximum consecutive number of dry days that will increase significantly under the RCP8.5 scenario. Therefore, reduced greenhouse gases emissions have implications for mitigating extreme drought events over the CA in the future. |
英文关键词 | Central Asia Dynamic downscaling Extreme Projection |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Sweden |
开放获取类型 | hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:000516468800001 |
WOS关键词 | TIBETAN PLATEAU ; CLIMATE-CHANGE ; CHINA ; CMIP5 ; WRF ; PARAMETERIZATION ; SENSITIVITY ; INDEXES ; DATASET ; CONTEXT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
来源机构 | 北京师范大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/314265 |
作者单位 | 1.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China; 2.Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R China; 3.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 4.Chengdu Univ Informat Technol, Sch Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Pro, Chengdu 610225, Peoples R China; 5.Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, S-46040530 Gothenburg, Sweden |
推荐引用方式 GB/T 7714 | Zhu, Xian,Wei, Zhigang,Dong, Wenjie,et al. Dynamical downscaling simulation and projection for mean and extreme temperature and precipitation over central Asia[J]. 北京师范大学,2020,54(7-8):3279-3306. |
APA | Zhu, Xian.,Wei, Zhigang.,Dong, Wenjie.,Ji, Zhenming.,Wen, Xiaohang.,...&Chen, Deliang.(2020).Dynamical downscaling simulation and projection for mean and extreme temperature and precipitation over central Asia.CLIMATE DYNAMICS,54(7-8),3279-3306. |
MLA | Zhu, Xian,et al."Dynamical downscaling simulation and projection for mean and extreme temperature and precipitation over central Asia".CLIMATE DYNAMICS 54.7-8(2020):3279-3306. |
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