Arid
DOI10.1007/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
ISSN0930-7575
EISSN1432-0894
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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