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CMIP6全球气候模式对中国地区干旱模拟能力评估与预估

Assessment of Simulation Capability and Projection of Drought over China Based on CMIP6 Global Climate Models

  • 摘要: 基于CN05.1观测格点数据和第六次国际耦合模式比较计划(CMIP6)模式模拟数据,本文全面评估了CMIP6模式对自校准帕尔默干旱指数(scPDSI)的模拟能力,并选取7个性能相对较好的模式的集合平均结果,在SSP1-2.6、SSP2-4.5、SSP5-8.5三种温室气体排放情景下预估21世纪中国地区自校准帕尔默干旱指数、径流和土壤湿度的变化特征,在此基础上分析CMIP6未来预估的不确定性。结果表明:CMIP6对中国地区自校准帕尔默干旱指数的模拟能力仍有待提高,多模式集合平均的模拟性能优于大多数单个模式,但在时间趋势、振幅等方面仍有不足;自校准帕尔默干旱指数的时间趋势在低、中排放情景下略微升高,趋势值分别为0.03 (10 a)−1和0.01 (10 a)−1,在高排放情景下则呈下降趋势−0.05 (10 a)−1。土壤湿度随时间呈降低趋势,SSP5-8.5情景下地表土壤湿度和整层土壤湿度降低趋势分别为−0.30% (10 a)−1和−0.26% (10 a)−1,而地表径流和径流总量则随时间增加,趋势值分别为1.76% (10 a)−1和3.13% (10 a)−1。在空间分布上,21世纪末,中国地区年平均自校准帕尔默干旱指数普遍随排放情景升高而降低,土壤湿度变化大致呈“北高南低”分布,在青藏高原地区降低最为明显,且地表土壤湿度变化幅度更大。径流在大部分地区均呈升高趋势,且升高幅度与区域随排放情景增大,只有西北和青藏高原部分地区呈降低趋势。21世纪各变量变化的概率密度曲线大多随排放情景升高而变宽,其未来变化极端性将增强,变化更为剧烈。

     

    Abstract: Based on the CN05.1 observation grid data and CMIP6 (Coupled Model Intercomparison Project Phase 6) model simulation data, this study comprehensively evaluated the simulation capability of CMIP6 models for scPDSI (self-calibrating Palmer Drought Severity Index) of China and selected seven model ensembles with relatively good performance to project the change characteristics of scPDSI, runoff, and soil moisture in China in the 21st century. On this basis, this study analyzed the uncertainty in the CMIP6 future projection. The results show that the simulation capability of CMIP6 models for scPDSI over China still needs improvement and the simulation performance of the multimodel ensemble is better than most individual models, but deficiencies remain in temporal and amplitude trends. The temporal trend of scPDSI shows a slightly increasing trend for the SSP1-2.6 and SSP2-4.5 scenarios, with trend values of 0.03 (10 a)−1 and 0.01 (10 a)−1, respectively, and decreasing for the SSP5-8.5 scenario −0.05 (10 a)−1. Soil moisture shows decreasing trends over time: the trend values of the surface soil moisture and total soil moisture are −0.30% (10 a)−1 and −0.26% (10 a)−1 for the SSP5-8.5 scenario, respectively. Runoff shows increasing trends with time: the trend values of the surface runoff and total runoff are 1.76% (10 a)−1 and 3.13% (10 a)−1 for the SSP5-8.5 scenario, respectively. At the end of the 21st century, the annual scPDSI over China generally decreases under SSP5-8.5scenario, changes in soil moisture are generally “high in the North and low in the South”, the downtrend is most significant in the Qinghai–Xizang Plateau region, and the change range of surface soil moisture is bigger than total soil moisture. Runoff tends to rise in most areas, except in Northwest China and Qinghai–Xizang Plateau region, and its change range is bigger with the emission scenarios. The probability density curves of most variables in the 21st century flatten as the emission scenarios increase, so future changes will become more dramatic.

     

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