| 青藏高原未来极端降水时空变化特征及海拔依赖性研究 |
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| 引用本文： | 张文青,刘浏,伦玉蕊,李秀萍,徐宗学.青藏高原未来极端降水时空变化特征及海拔依赖性研究[J].水土保持学报,2023,37(2):149-158,216. |
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| 作者姓名： | 张文青 刘浏 伦玉蕊 李秀萍 徐宗学 |
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| 作者单位： | 1. 中国农业大学水利与土木工程学院, 北京 100083;2. 中国农业大学中国农业水问题研究中心, 北京 100083;3. 中国科学院青藏高原研究所, 北京 100101;4. 北京师范大学水科学研究院, 北京 100875 |
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| 基金项目： | 国家自然科学基金项目(51961145104,52079138,42171027) |
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| 摘 要： | 极端降水对青藏高原生态—水资源—农业的可持续发展具有重要影响。基于CMIP6(coupled model intercomparison project phase 6)最新发布的大气环流模式(general circulation models, GCMs)日尺度降水数据，系统评估GCMs对青藏高原历史极端降水特征的模拟能力，并对未来时期极端降水进行预估。结果表明：多模式集合(multi-model ensemble, MME)能够更好地捕捉极端降水的时空分布特征，其中R95p、SDII、R1mm、CWD和PRCP在不同高程带表现出与观测值较为一致的变化趋势，然而，CMIP6 MME再现极端降水指数变化趋势的能力随海拔增高而降低。青藏高原未来近期、中期、远期在不同共享社会经济路径与典型浓度路径组合情景(shared socioeconomic pathways and the representative concentration pathways, SSP)下的极端降水特征预估结果表明，未来时期随时间的推移和温室气体排放浓度的增加，R95p、SDII、R1mm、CWD和PRCP相...
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| 关 键 词： | 极端降水 多模式 CMIP6 气候变化 海拔依赖性 青藏高原 |
| 收稿时间： | 2022/7/18 0:00:00 |
Spatial-temporal Variation Characteristics of Future Extreme Precipitation and Its Elevation Dependency over the Qinghai-Tibet Plateau |
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| ZHANG Wenqing,LIU Liu,LUN Yurui,LI Xiuping,XU Zongxue.Spatial-temporal Variation Characteristics of Future Extreme Precipitation and Its Elevation Dependency over the Qinghai-Tibet Plateau[J].Journal of Soil and Water Conservation,2023,37(2):149-158,216. |
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| Authors: | ZHANG Wenqing LIU Liu LUN Yurui LI Xiuping XU Zongxue |
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| Institution: | 1. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083;2. Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083;3. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101;4. College of Water Sciences, Beijing Normal University, Beijing 100875 |
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| Abstract: | Extreme precipitation events have important impacts on the sustainable development of ecological-water-resource-agricultural on the Qinghai-Tibet Plateau.Based on the daily precipitation datasets of General Circulation Models (GCMs) released by CMIP6(coupled model intercomparision project phase),the ability of GCMs to simulate the characteristics of historical extreme precipitation over the Qinghai-Tibet Plateau was systematically evaluated,and the future extreme precipitation was predicted.The results showed that multi-model ensemble (MME) exhibited a better performance of capturing spatio-temporal variation characteristics of extreme precipitation.Specifically,the variation trends of R95p,SDII,R1mm,CWD,and PRCP were consistent with those of observed values in different altitude zones,while the ability of CMIP6 MME to reproduce the variation trends of extreme precipitation indices decreased increasing altitude.The predicted extreme precipitation characteristics over the Qinghai-Tibet Plateau during the future near-term,mid-term,and long-term periods under different combination scenarios of shared socioeconomic pathways and the representative concentration pathways (SSP) were implemented.With the process of time and the increase of greenhouse gas emission concentration in the future period R95p,SDII,R1mm,CWD,and PRCP all showed a significantly increasing trend compared with the baseline period.While the most significant increase of SDII occurred in the southeast,the variation patterns of R95p,R1mm,CWD,and PRCP exhibited a relatively consistent spatial distribution characteristics of decreasing from northwest to southeast.The increase in extreme precipitation intensity is most significant in the southeast.In addition,the future variability of each extreme precipitation index compared to the base period showed the most remarkable variability in lower altitude regions (<2 000 m),with the maximum variability exceeding 200%.SDII showed a consistent increasing trend with rising elevation,and the relative changing rates of SDII under the SSP5-8.5 scenario were-0.06%,14.45%,and 17.95% at low (<3 500 m),middle (3 500~4 500 m),and high (>4 500 m) elevation zones,respectively,indicating that the increase of extreme precipitation intensity was more significant at higher elevations. |
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| Keywords: | extreme precipitation multi-model CMIP6 climate change elevation dependence Qinghai-Tibet Plateau |
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