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Projected changes of precipitation extremes in river basins over China

机译:中国流域极端降水的预计变化

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Based on daily precipitation data derived from observations and three Coupled General Circulation Model (CGCM)'s outputs (CSIRO_MK3_5, MPLECHAM5 and NCAR.CCSM3), some extreme precipitation indices are calculated. Initially, the models' skills in simulating extreme precipitation during 1961-2000 were assessed. Projected changes before 2050 under the Special Report on Emissions Scenarios (SRES) emission scenario A1B were also analyzed. Results show that although there are some biases in the model results, the three models capture well the geographic distribution of extreme precipitation observed in the last half of the 20th century. Nevertheless, the models tend to show limited skill in reproducing the observed inter-annual variations of such extreme precipitation events, including the dominant patterns and trends. Under SRES A1B, for the period of 2011-2050, the simple daily precipitation intensity (SDII) and the fraction of extreme precipitation in total annual precipitation (R95T) will increase significantly in all the river basins in China, while changes in other indices are different. The periodic changes in consecutive dry days (CDD), consecutive wet days (CWD) and the number of days with precipitation > 10 mm/day (R10) are expected to be more pronounced in the Huang-Huai-Hai River Basin. In the South River Basin, such periodic changes maintain similar or slightly weakened magnitudes. From 2001 to 2050 in the Huang-Huai-Hai River Basin, extreme precipitation in spring shows no significant changes. In the South River Basin, R95T, SDII and the maximum 5-days precipitation amount (R5D) in summer show an increasing tendency, but in winter a weak decreasing trend is projected. The changes in precipitation-based indices indicate a higher probability of heavy rainfall or flood occurrence, particularly in the river basins in East China.
机译:根据观测得出的每日降水数据和三重耦合环流模型(CGCM)的输出(CSIRO_MK3_5,MPLECHAM5和NCAR.CCSM3),计算了一些极端降水指数。最初,评估了该模型在1961-2000年期间模拟极端降水的技能。还分析了《排放情景特别报告》(SRES)排放情景A1B下2050年之前的预计变化。结果表明,尽管模型结果存在一些偏差,但是这三个模型很好地捕捉了20世纪后半叶观察到的极端降水的地理分布。然而,这些模型在再现观测到的此类极端降水事件的年际变化(包括主要模式和趋势)方面往往显示出有限的技能。在SRES A1B模式下,2011-2050年期间,中国所有流域的简单日降水强度(SDII)和极端降水在年总降水量(R95T)中的比例将显着增加,而其他指数的变化则是不同。在黄淮海流域,连续干旱天数(CDD),连续潮湿天数(CWD)和降水量大于10毫米/天的天数(R10)的周期性变化预计会更加明显。在南河流域,这种周期性变化保持相似或略微减弱的幅度。在黄淮海流域,从2001年到2050年,春季的极端降水没有明显变化。在南流域,R95T,SDII和夏季最大5天降水量(R5D)呈上升趋势,而冬季则呈微弱下降趋势。基于降水的指数的变化表明发生强降雨或洪灾的可能性更高,特别是在华东流域。

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  • 来源
    《Quaternary International》 |2011年第2期|p.149-158|共10页
  • 作者

    Chonghai Xu; Yong Luo; YingXu;

  • 作者单位

    Meteorological Observation Center, China Meteorological Administration, Beijing, China,National Climate Center, China Meteorological Administration, Beijing, China;

    rnNational Climate Center, China Meteorological Administration, Beijing, China;

    rnNational Climate Center, China Meteorological Administration, Beijing, China;

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  • 入库时间 2022-08-18 03:35:43

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