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Spatiotemporal patterns of future temperature and precipitation over China projected by PRECIS under RCPs

机译:在RCPS下,中国预测的中国未来温度和降水的时空模式

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摘要

In this study, the spatiotemporal patterns of future temperature and precipitation changes over China are explored with the regional climate model PRECIS at two horizontal resolutions (25 km and 50 km). The gauge based temperature (CN05.1) and precipitation data (APHRODITE) are used to validate the performance of PRECIS. The results show that PRECIS has better performance in reproducing the present climatology in spatial distribution and annual cycle than its driving GCM, particularly in some cold months and the high latitude regions, though the simulation is worse in precipitation over the high-cold Tibet Plateau of China. Compared to the observation, the difference between the simulations at 50 km (R50) and 25 km (R25) resolutions is very small. Projected annual temperature and precipitation will increase gradually with the time over most regions of China, especially in the late of this century. The results from R25 show the mean temperature over China will increase by similar to 1.3(1.5) degrees C in the early century, 2.7(3.5) degrees C in the middle century, and 3.5(5.9) degrees C in the late century under RCP4.5(8.5), which are all smaller than the values from its driving GCM. Most models project that the temperature will have more increases in cold months (i.e., January to March) while the southeastern region will show smaller changes relative to other sub-regions. Additionally, China will receive more precipitation from the overall trend, but the increased amplitude among different concentration scenarios and models are different obviously. The projections from R25 show more precipitation than the R50 and their driving GCM. For instance, the annual mean precipitation will increase by similar to 15(22) % for GCM, similar to 20(33) % for R50 and similar to 22(37) % for R25 in the late of this century over the entire China under RCP4.5(8.5). The annual cycles of precipitation at subregions also show a distinct variation. The changes are smaller in October or November than other months for the southeastern and central regions, while the percentage change is larger in the northwest, which will alleviate the pressure of water shortage in this arid region of China.
机译:在这项研究中,通过两个水平分辨率(25公里和50公里),探讨了中国未来温度和降水变化的时空模式,并探讨了区域气候模型(25公里和50公里)。基于仪表的温度(CN05.1)和降水数据(APHRODITE)用于验证PRECIS的性能。结果表明,PRECIS在空间分布和年度周期中再现出现目前的气候学,特别是在驾驶GCM,特别是在一些寒冷的月份和高纬度地区,尽管仿真在高寒的西藏高原上的降水差中国。与观察相比,50km(R50)和25公里(R25)分辨率的模拟之间的差异非常小。预计年度温度和降水将随着中国大多数地区的时间而逐步增加,特别是在本世纪晚期。 R25的结果表明,中国的平均温度将在早期的1.3(1.5)中,中世纪2.7(3.5)摄氏度增加2.7(3.5),在RCP4下的后期3.5(5.9) .5(8.5),它们均小于其驱动GCM的值。大多数模型项目,温度将在寒冷的月份(即,1月至3月)增加更多的增加,而东南部地区将显示相对于其他子地区的较小变化。此外,中国将从整体趋势中获得更多降水,但不同浓度情景和模型之间的幅度增加显然是不同的。 R25的投影显示比R50更多的沉淀及其驱动GCM。例如,年平均沉淀将增加与GCM相似的15(22)%,类似于R50的20(33)%,在本世纪晚于整个中国的R25的22(37)% RCP4.5(8.5)。次区域的降水量的年度循环也显示出明显的变化。这些变化在10月或11月比东南部和中央地区的其他几个月更小,而西北部的百分比变化较大,这将减轻中国干旱地区的水资源短缺压力。

著录项

  • 来源
    《Atmospheric research》 |2021年第2期|105303.1-105303.15|共15页
  • 作者单位

    Nari Grp Corp State Grid Elect Power Res Inst Nanjing 211106 Peoples R China|Beijing Kedong Power Control Syst Co Ltd Beijing 100192 Peoples R China;

    North China Elect Power Univ MOE Key Lab Resource & Environm Syst Optimizat Coll Environm Sci & Engn Beijing 102206 Peoples R China;

    Nari Grp Corp State Grid Elect Power Res Inst Nanjing 211106 Peoples R China|Beijing Kedong Power Control Syst Co Ltd Beijing 100192 Peoples R China;

    Nari Grp Corp State Grid Elect Power Res Inst Nanjing 211106 Peoples R China|Beijing Kedong Power Control Syst Co Ltd Beijing 100192 Peoples R China;

    Univ Prince Edward Isl Sch Climate Change & Adaptat Charlottetown PE C1A 4P3 Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Climate change; Regional climate model; China; Temperature; Precipitation;

    机译:气候变化;区域气候模型;中国;温度;降水;

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