CCPortal
DOI10.1016/j.atmosres.2020.105375
Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China
Su B.; Huang J.; Mondal S.K.; Zhai J.; Wang Y.; Wen S.; Gao M.; Lv Y.; Jiang S.; Jiang T.; Li A.
发表日期2020
ISSN0169-8095
英文摘要In this paper, future drought characteristics (frequency, duration and intensity) over China are analysed by using four climate models from CMIP6 under the seven SSP-RCP (shared socioeconomic pathway-representative concentration pathway) scenarios (SSP119, SSP126, SSP434, SSP245, SSP460, SSP370, and SSP585) for three defined periods of 2021–2040 (near-term), 2041–2060 (mid-term) and 2081–2100 (long-term). The corresponding four climate models output from CMIP5 are also used to conduct a comparison analysis between CMIP5 and CMIP6 to address the improvements added to CMIP6 in terms of drought identification. The drought characteristics are identified by applying the standardized precipitation-evapotranspiration index (SPEI) at a 12-month timescale and run theory. The results show that CMIP6 has a robust capability to capture historical (1986–2005) drought characteristics. For the future period of 2021–2040, the decrease in precipitation and increase in potential evapotranspiration will lead to continuous dry conditions in the upper and middle Yangtze River basin and eastern Pearl River basin. Relative to the reference period, drought events will be more frequent and severe with longer durations in the Northwest River basins and middle Yangtze River basin. Furthermore, higher emissions signify a greater increase in drought frequency and intensity in the long-term period. Except for the SSP585 scenario, the lower emission scenario corresponds to the higher drought duration soon and in the mid-21st century (2021–2060). This finding is regarded as a “strange phenomenon”, which cannot be detected by the previous CMIP5-based emission scenarios (RCP2.6, RCP4.5 and the unlikely pathway RCP8.5). Therefore, additional “possible future”-based scenarios (SSP119, SSP126, SSP434, SSP245, SSP460, and SSP370) should be included in extreme climate studies, especially for the near future and mid-21st century. Notably, compared with CMIP5, the reduced biases in drought characteristics are more likely associated with improvements in the representation of physical processes in climate models from CMIP6. The results of this study could provide a basis for the development of drought adaptation measures over China. © 2020 Elsevier B.V.
英文关键词China; Climatic change; CMIP6; Drought; SSP-RCPs
语种英语
scopus关键词Drought; Evapotranspiration; Rivers; Watersheds; Comparison analysis; Drought characteristics; Emission scenario; Extreme climates; Pearl River basin; Potential evapotranspiration; Robust capability; Yangtze River basin; Climate models
来源期刊Atmospheric Research
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/162235
作者单位Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Institute for Disaster Risk Management /School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China; National Climate Center, China Meteorological Administration, Beijing, 100081, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; School of Earth & Environment, University of Leeds, Leeds, United Kingdom
推荐引用方式
GB/T 7714
Su B.,Huang J.,Mondal S.K.,et al. Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China[J],2020.
APA Su B..,Huang J..,Mondal S.K..,Zhai J..,Wang Y..,...&Li A..(2020).Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China.Atmospheric Research.
MLA Su B.,et al."Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China".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
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Su B.]的文章
[Huang J.]的文章
[Mondal S.K.]的文章
百度学术
百度学术中相似的文章
[Su B.]的文章
[Huang J.]的文章
[Mondal S.K.]的文章
必应学术
必应学术中相似的文章
[Su B.]的文章
[Huang J.]的文章
[Mondal S.K.]的文章
相关权益政策
暂无数据
收藏/分享

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。