GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2020.105111
Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia
Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin
2020-06-26
发表期刊Atmospheric Research
出版年2020
英文摘要

To characterize future drought events over a drought prone area like South Asia is paramount for drought risk mitigation. In this paper, a five-model ensemble mean from CMIP6 was chosen to project drought characteristics in South Asia under the latest SSPs-RCPs emission scenarios (SSP1–2.6, SSP2–4.5, and SSP5–8.5) for the period 2020–2099. Additionally, corresponding scenarios RCP2.6, RCP4.5 and RCP8.5 of CMIP5 were used for comparison and to identify the changes and improvements of CMIP6 over the South Asia. Principle Component Analysis and the Varimax rotation method is used to divided the study area into five homogenous drought sub-regions. Drought duration, frequency, and intensity are analyzed based on the Run theory, and the Standardized Precipitation Evapotranspiration Index (SPEI) at 12-months timescale, and the self-calibrating Palmer Drought Severity Index (sc-PDSI). The Modified Mann-Kendall and Sen's slope method is adopted to detect sub-regional trends in drought characteristics. Results show that significant increases in drought conditions mainly pronounced over the North-West sub-region. Strong increases are projected in the average drought duration and drought frequency. The North-West sub-region is the most vulnerable to face frequent drought events with longer duration with higher intensity. Parts of the South-West, North-Central, and North-East sub-regions will also face more adverse drought conditions in future. The selected model ensemble from CMIP6 has a very robust capability to simulate present climate parameters (precipitation, temperature, and evaporation) and satisfactorily captures drought characteristics in South Asia. These results provide a basis for developing drought adaptation measures for South Asia.

领域地球科学
URL查看原文
引用统计
被引频次:145[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/278037
专题地球科学
推荐引用方式
GB/T 7714
Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin. Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia[J]. Atmospheric Research,2020.
APA Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin.(2020).Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia.Atmospheric Research.
MLA Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin."Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia".Atmospheric Research (2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin]的文章
百度学术
百度学术中相似的文章
[Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin]的文章
必应学术
必应学术中相似的文章
[Jianqing Zhai, Sanjit Kumar Mondal, Thomas Fischer, Yanjun Wang, ... Jalal Uddin]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。