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Seasonal cycle of precipitation over major river basins in South and Southeast Asia: A review of the CMIP5 climate models data for present climate and future climate projections

机译:南亚和东南亚主要河流流域的降水季节性周期:针对当前气候和未来气候预测的CMIP5气候模型数据回顾

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摘要

We review the skill of thirty coupled climate models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) in terms of reproducing properties of the seasonal cycle of precipitation over the major river basins of South and Southeast Asia (Indus, Ganges, Brahmaputra and Mekong) for the historical period (1961-2000). We also present how these models represent the impact of climate change by the end of century (2061-2100) under the extreme scenario RCP8.5. First, we assess the models' ability to reproduce the observed timings of the monsoon onset and the rate of rapid fractional accumulation (RFA) slope - a measure of seasonality within the active monsoon period. Secondly, we apply a threshold-independent seasonality index (SI) - a multiplicative measure of precipitation (P) and extent of its concentration relative to uniform distribution (relative entropy - RE). We apply SI distinctly over the monsoonal precipitation regime (MPR), westerly precipitation regime (WPR) and annual precipitation. For the present climate, neither any single model nor the multi-model mean performs best in all chosen metrics. Models show overall a modest skill in suggesting right timings of the monsoon onset while the RFA slope is generally underestimated. One third of the models fail to capture the monsoon signal over the Indus basin. Mostly, the estimates for SI during WPR are higher than observed for all basins. When looking at MPR, the models typically simulate an SI higher (lower) than observed for the Ganges and Brahmaputra (Indus and Mekong) basins, following the pattern of overestimation (underestimation) of precipitation. Most of the models are biased negative (positive) for RE estimates over the Brahmaputra and Mekong (Indus and Ganges) basins, implying the extent of precipitation concentration for MPR and number of dry days within WPR lower (higher) than observed for these basins. Such skill of the CMIP5 models in representing the present-day monsoonal hydroclimatology poses some caveats on their ability to represent correctly the climate change signal. Nevertheless, considering the majority-model agreement as a measure of robustness for the qualitative scale projected future changes, we find a slightly delayed onset, and a general increase in the RFA slope and in the extent of precipitation concentration (RE) for MPR Overall, a modest inter-model agreement suggests an increase in the seasonality of MPR and a less intermittent WPR for all basins and for most of the study domain. The SI-based indicator of change in the monsoonal domain suggests its extension westward over northwest India and Pakistan and northward over China. These findings have serious implications for the food and water security of the region in the future. (C) 2016 Elsevier B.V. All rights reserved.
机译:我们从南亚和东南亚主要河流流域(印度河,恒河,雅鲁藏布江和湄公河)的降水季节性周期的再现特性方面,回顾了参与耦合模型比对项目第五阶段(CMIP5)的三十种耦合气候模型的技巧。 )的历史时期(1961-2000)。我们还介绍了在极端情景RCP8.5下,这些模型如何代表本世纪末(2061-2100)气候变化的影响。首先,我们评估模型重现观测到的季风爆发时机和快速分数累积(RFA)斜率的能力,而RFA斜率是衡量活动季风期间季节性的指标。其次,我们应用与阈值无关的季节性指数(SI)-降水(P)及其浓度相对于均匀分布的相对程度的相对度量(相对熵-RE)。我们在季风降水体制(MPR),西风降水体制(WPR)和年降水分别采用了SI。在当前的气候下,任何单一模型或多模型均值在所有选定指标中均表现最佳。模型总体上显示出建议季风发作时机的适当技巧,而RFA斜率通常被低估了。三分之一的模型未能捕获印度河流域上的季风信号。通常,在WPR期间对SI的估计高于所有盆地的观测。当考察MPR时,模型通常会模拟高(低)恒河和雅鲁藏布江(印度河和湄公河)盆地观测到的SI,遵循降雨的高估(低估)模式。对于布拉马普特拉和湄公河(印度河和恒河)盆地,大多数模型对可再生能源的估算有偏负(正),这意味着MPR的降水集中程度和WPR内的干旱天数低于(高于)这些盆地。 CMIP5模型在表示当今季风水文气候学方面的这种技巧给他们正确表示气候变化信号的能力提出了一些警告。不过,考虑到多数模型协议可作为衡量定性规模预测未来变化的稳健性的指标,我们发现起效略有延迟,并且RFA斜率和MPR总体上的降水集中度(RE)普遍增加,适度的模型间协议表明,所有盆地和大多数研究领域的MPR季节性增加,WPR的间歇性降低。基于SI的季风区域变化指标表明,其向西延伸至印度西北部和巴基斯坦,向北延伸至中国。这些发现对未来该地区的粮食和水安全具有严重影响。 (C)2016 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Atmospheric research》 |2016年第11期|42-63|共22页
  • 作者单位

    Univ Hamburg, Inst Geog, Ctr Earth Syst Res & Sustainabil, CEN, Hamburg, Germany|Univ Hamburg, Inst Meteorol, Ctr Earth Syst Res & Sustainabil, CEN, Hamburg, Germany|Inst Space Technol, Dept Space Sci, Islamabad, Pakistan;

    Univ Hamburg, Inst Meteorol, Ctr Earth Syst Res & Sustainabil, CEN, Hamburg, Germany|CALTECH, Pasadena, CA 91125 USA;

    Univ Hamburg, Inst Meteorol, Ctr Earth Syst Res & Sustainabil, CEN, Hamburg, Germany|Univ Reading, Dept Math & Stat, Reading, Berks, England|Univ Reading, Walker Inst Climate Syst Res, Reading, Berks, England;

    Univ Hamburg, Inst Geog, Ctr Earth Syst Res & Sustainabil, CEN, Hamburg, Germany;

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

    CMIP5 models; Seasonal cycle of precipitation; South Asian monsoon; Westerly precipitation regime; Relative entropy;

    机译:CMIP5模型降水季节周期南亚季风西风降水方式相对熵;

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