基于CanESM5模式的长江流域未来降雨变化趋势分析OACSTPCD
Future Rainfall Change Trend in Yangtze River Basin Based on CanESM5 Model
长江流域位于我国东部季风区,受气候变化影响明显,频繁而严重的洪旱灾害问题突出,急需开展水文气象要素未来时空变化趋势分析.引入CMIP6发布的CanESM5模式低、中、高强迫(SSP1-2.6、SSP2-4.5、SSP5-8.5)3种不同情景降雨量预估成果,采用基于分位数的日尺度偏差校正统计降尺度方法,研究了未来40 a降雨量时空演变趋势.空间上长江流域多年平均降雨量维持从西北至东南逐渐增加的空间分布格局不变,时间上以关键控制断面屏山、宜昌未来40 a成果为代表,未来屏山、宜昌以上流域的年降雨量均值及极值较历史时期相比明显增大,且高强迫情景下的年降雨量明显大于低强迫情景和中强迫情景;对于低强迫情景和高强迫情景,屏山断面以上流域年降雨量随时间的线性变化显著,而宜昌断面以上流域年降雨量随时间的线性变化不显著;在中强迫情景下,2个断面以上流域年降雨量随时间的线性变化显著.
Situated in the eastern monsoon region of China,Yangtze River Basin is highly vulnerable to the impacts of climate change and prone to be stricken by frequent and severe flood and drought disasters.It is crucial to ana-lyze the future spatiotemporal trends of hydrological and meteorological elements in the Yangtze River Basin.Based on the precipitation prediction results of the CanESM5 model released by CMIP6 under low,medium,and high forcing scenarios,namely SSP 1-2.6,SSP2-4.5,and SSP5-8.5,respectively,we employed the daily bias correc-tion method to examine the spatiotemporal evolution of precipitation over the next four decades.In spatial scale,the annual average precipitation across the Yangtze River Basin remains a pattern of increasing from northwest to south-east;and in temporal scale,future precipitation trends in the upstream basins of Pingshan and Yichang,which are key control stations,exhibit significantly higher mean and extreme values over the next four decades than those in historical period.In particular,precipitation levels in the SSP5-8.5 scenario are notably higher than those observed in the SSP1-2.6 and SSP2-4.5 scenarios.Moreover,we observed a significant linear correlation between annual precipitation and time in the upstream of Pingshan section under the SSP1-2.6 and SSP5-8.5 scenarios,but no significant correlation for the Yichang section.However,under the SSP2-4.5 scenario,the correlation between an-nual precipitation and time in the upstream of both sections remains significant.
欧阳硕;胡智丹;邵骏;龚莉;杜涛
长江水利委员会水文局,武汉 430010水利部信息中心(水利部水文水资源监测预报中心),北京 100053武汉大学水资源与水电工程科学国家重点实验室,武汉 430072
地球科学
降雨量时空演变趋势CMIP6CanESM5模式基于分位数的日尺度偏差校正法长江流域
spatiotemporal evolution trend of precipitationCMIP6CanESM5 modelquantile-based daily bias correctionYangtze River Basin
《长江科学院院报》 2024 (001)
36-43 / 8
国家重点研发计划项目(2019YFC0408901-02);中国长江三峡集团有限公司资助项目(0711606)
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